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<div class="subTitle">org.opencv.photo</div>
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<h2 title="Class Photo" class="title">Class Photo</h2>
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<li>java.lang.Object</li>
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<li>org.opencv.photo.Photo</li>
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<pre>public class <span class="typeNameLabel">Photo</span>
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extends java.lang.Object</pre>
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<th class="colFirst" scope="col">Modifier and Type</th>
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<th class="colLast" scope="col">Field and Description</th>
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#INPAINT_NS">INPAINT_NS</a></span></code> </td>
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</tr>
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<tr class="rowColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#INPAINT_TELEA">INPAINT_TELEA</a></span></code> </td>
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</tr>
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<tr class="altColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#LDR_SIZE">LDR_SIZE</a></span></code> </td>
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</tr>
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<tr class="rowColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#MIXED_CLONE">MIXED_CLONE</a></span></code> </td>
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</tr>
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<tr class="altColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#MONOCHROME_TRANSFER">MONOCHROME_TRANSFER</a></span></code> </td>
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</tr>
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<tr class="rowColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#NORMAL_CLONE">NORMAL_CLONE</a></span></code> </td>
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</tr>
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<tr class="altColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#NORMCONV_FILTER">NORMCONV_FILTER</a></span></code> </td>
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</tr>
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<tr class="rowColor">
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<td class="colFirst"><code>static int</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#RECURS_FILTER">RECURS_FILTER</a></span></code> </td>
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<h3>Constructor Summary</h3>
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<caption><span>Constructors</span><span class="tabEnd"> </span></caption>
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<tr>
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<th class="colOne" scope="col">Constructor and Description</th>
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<td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#Photo--">Photo</a></span>()</code> </td>
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</tr>
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<h3>Method Summary</h3>
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<table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
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<caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd"> </span></span><span id="t1" class="tableTab"><span><a href="javascript:show(1);">Static Methods</a></span><span class="tabEnd"> </span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd"> </span></span></caption>
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<tr>
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<th class="colFirst" scope="col">Modifier and Type</th>
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<th class="colLast" scope="col">Method and Description</th>
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</tr>
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<tr id="i0" class="altColor">
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<td class="colFirst"><code>static void</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#colorChange-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">colorChange</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
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<div class="block">Given an original color image, two differently colored versions of this image can be mixed
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seamlessly.</div>
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</td>
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</tr>
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<tr id="i1" class="rowColor">
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<td class="colFirst"><code>static void</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#colorChange-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-">colorChange</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
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float red_mul)</code>
|
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<div class="block">Given an original color image, two differently colored versions of this image can be mixed
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seamlessly.</div>
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</td>
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</tr>
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<tr id="i2" class="altColor">
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<td class="colFirst"><code>static void</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#colorChange-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-float-">colorChange</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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float red_mul,
|
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float green_mul)</code>
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<div class="block">Given an original color image, two differently colored versions of this image can be mixed
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seamlessly.</div>
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</td>
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</tr>
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<tr id="i3" class="rowColor">
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<td class="colFirst"><code>static void</code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#colorChange-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-float-float-">colorChange</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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float red_mul,
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float green_mul,
|
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float blue_mul)</code>
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<div class="block">Given an original color image, two differently colored versions of this image can be mixed
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seamlessly.</div>
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</td>
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</tr>
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<tr id="i4" class="altColor">
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<td class="colFirst"><code>static <a href="../../../org/opencv/photo/AlignMTB.html" title="class in org.opencv.photo">AlignMTB</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createAlignMTB--">createAlignMTB</a></span>()</code>
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<div class="block">Creates AlignMTB object
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usually good enough (31 and 63 pixels shift respectively).</div>
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</td>
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</tr>
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<tr id="i5" class="rowColor">
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<td class="colFirst"><code>static <a href="../../../org/opencv/photo/AlignMTB.html" title="class in org.opencv.photo">AlignMTB</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createAlignMTB-int-">createAlignMTB</a></span>(int max_bits)</code>
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<div class="block">Creates AlignMTB object</div>
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</td>
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</tr>
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<tr id="i6" class="altColor">
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<td class="colFirst"><code>static <a href="../../../org/opencv/photo/AlignMTB.html" title="class in org.opencv.photo">AlignMTB</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createAlignMTB-int-int-">createAlignMTB</a></span>(int max_bits,
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int exclude_range)</code>
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<div class="block">Creates AlignMTB object</div>
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</td>
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</tr>
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<tr id="i7" class="rowColor">
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<td class="colFirst"><code>static <a href="../../../org/opencv/photo/AlignMTB.html" title="class in org.opencv.photo">AlignMTB</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createAlignMTB-int-int-boolean-">createAlignMTB</a></span>(int max_bits,
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int exclude_range,
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boolean cut)</code>
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<div class="block">Creates AlignMTB object</div>
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</td>
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</tr>
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<tr id="i8" class="altColor">
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<td class="colFirst"><code>static <a href="../../../org/opencv/photo/CalibrateDebevec.html" title="class in org.opencv.photo">CalibrateDebevec</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createCalibrateDebevec--">createCalibrateDebevec</a></span>()</code>
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<div class="block">Creates CalibrateDebevec object
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response.</div>
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</td>
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</tr>
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<tr id="i9" class="rowColor">
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<td class="colFirst"><code>static <a href="../../../org/opencv/photo/CalibrateDebevec.html" title="class in org.opencv.photo">CalibrateDebevec</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createCalibrateDebevec-int-">createCalibrateDebevec</a></span>(int samples)</code>
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<div class="block">Creates CalibrateDebevec object</div>
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</td>
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</tr>
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<tr id="i10" class="altColor">
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<td class="colFirst"><code>static <a href="../../../org/opencv/photo/CalibrateDebevec.html" title="class in org.opencv.photo">CalibrateDebevec</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createCalibrateDebevec-int-float-">createCalibrateDebevec</a></span>(int samples,
|
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float lambda)</code>
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<div class="block">Creates CalibrateDebevec object</div>
|
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</td>
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</tr>
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<tr id="i11" class="rowColor">
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<td class="colFirst"><code>static <a href="../../../org/opencv/photo/CalibrateDebevec.html" title="class in org.opencv.photo">CalibrateDebevec</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createCalibrateDebevec-int-float-boolean-">createCalibrateDebevec</a></span>(int samples,
|
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float lambda,
|
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boolean random)</code>
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<div class="block">Creates CalibrateDebevec object</div>
|
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</td>
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</tr>
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<tr id="i12" class="altColor">
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<td class="colFirst"><code>static <a href="../../../org/opencv/photo/CalibrateRobertson.html" title="class in org.opencv.photo">CalibrateRobertson</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createCalibrateRobertson--">createCalibrateRobertson</a></span>()</code>
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<div class="block">Creates CalibrateRobertson object</div>
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</td>
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</tr>
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<tr id="i13" class="rowColor">
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<td class="colFirst"><code>static <a href="../../../org/opencv/photo/CalibrateRobertson.html" title="class in org.opencv.photo">CalibrateRobertson</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createCalibrateRobertson-int-">createCalibrateRobertson</a></span>(int max_iter)</code>
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<div class="block">Creates CalibrateRobertson object</div>
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</td>
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</tr>
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<tr id="i14" class="altColor">
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<td class="colFirst"><code>static <a href="../../../org/opencv/photo/CalibrateRobertson.html" title="class in org.opencv.photo">CalibrateRobertson</a></code></td>
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<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createCalibrateRobertson-int-float-">createCalibrateRobertson</a></span>(int max_iter,
|
|
float threshold)</code>
|
|
<div class="block">Creates CalibrateRobertson object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i15" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/MergeDebevec.html" title="class in org.opencv.photo">MergeDebevec</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createMergeDebevec--">createMergeDebevec</a></span>()</code>
|
|
<div class="block">Creates MergeDebevec object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i16" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/MergeMertens.html" title="class in org.opencv.photo">MergeMertens</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createMergeMertens--">createMergeMertens</a></span>()</code>
|
|
<div class="block">Creates MergeMertens object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i17" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/MergeMertens.html" title="class in org.opencv.photo">MergeMertens</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createMergeMertens-float-">createMergeMertens</a></span>(float contrast_weight)</code>
|
|
<div class="block">Creates MergeMertens object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i18" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/MergeMertens.html" title="class in org.opencv.photo">MergeMertens</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createMergeMertens-float-float-">createMergeMertens</a></span>(float contrast_weight,
|
|
float saturation_weight)</code>
|
|
<div class="block">Creates MergeMertens object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i19" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/MergeMertens.html" title="class in org.opencv.photo">MergeMertens</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createMergeMertens-float-float-float-">createMergeMertens</a></span>(float contrast_weight,
|
|
float saturation_weight,
|
|
float exposure_weight)</code>
|
|
<div class="block">Creates MergeMertens object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i20" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/MergeRobertson.html" title="class in org.opencv.photo">MergeRobertson</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createMergeRobertson--">createMergeRobertson</a></span>()</code>
|
|
<div class="block">Creates MergeRobertson object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i21" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/Tonemap.html" title="class in org.opencv.photo">Tonemap</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemap--">createTonemap</a></span>()</code>
|
|
<div class="block">Creates simple linear mapper with gamma correction
|
|
|
|
equal to 2.2f is suitable for most displays.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i22" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/Tonemap.html" title="class in org.opencv.photo">Tonemap</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemap-float-">createTonemap</a></span>(float gamma)</code>
|
|
<div class="block">Creates simple linear mapper with gamma correction</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i23" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/TonemapDrago.html" title="class in org.opencv.photo">TonemapDrago</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemapDrago--">createTonemapDrago</a></span>()</code>
|
|
<div class="block">Creates TonemapDrago object
|
|
|
|
than 1 increase saturation and values less than 1 decrease it.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i24" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/TonemapDrago.html" title="class in org.opencv.photo">TonemapDrago</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemapDrago-float-">createTonemapDrago</a></span>(float gamma)</code>
|
|
<div class="block">Creates TonemapDrago object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i25" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/TonemapDrago.html" title="class in org.opencv.photo">TonemapDrago</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemapDrago-float-float-">createTonemapDrago</a></span>(float gamma,
|
|
float saturation)</code>
|
|
<div class="block">Creates TonemapDrago object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i26" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/TonemapDrago.html" title="class in org.opencv.photo">TonemapDrago</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemapDrago-float-float-float-">createTonemapDrago</a></span>(float gamma,
|
|
float saturation,
|
|
float bias)</code>
|
|
<div class="block">Creates TonemapDrago object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i27" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/TonemapMantiuk.html" title="class in org.opencv.photo">TonemapMantiuk</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemapMantiuk--">createTonemapMantiuk</a></span>()</code>
|
|
<div class="block">Creates TonemapMantiuk object
|
|
|
|
dynamic range.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i28" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/TonemapMantiuk.html" title="class in org.opencv.photo">TonemapMantiuk</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemapMantiuk-float-">createTonemapMantiuk</a></span>(float gamma)</code>
|
|
<div class="block">Creates TonemapMantiuk object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i29" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/TonemapMantiuk.html" title="class in org.opencv.photo">TonemapMantiuk</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemapMantiuk-float-float-">createTonemapMantiuk</a></span>(float gamma,
|
|
float scale)</code>
|
|
<div class="block">Creates TonemapMantiuk object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i30" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/TonemapMantiuk.html" title="class in org.opencv.photo">TonemapMantiuk</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemapMantiuk-float-float-float-">createTonemapMantiuk</a></span>(float gamma,
|
|
float scale,
|
|
float saturation)</code>
|
|
<div class="block">Creates TonemapMantiuk object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i31" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/TonemapReinhard.html" title="class in org.opencv.photo">TonemapReinhard</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemapReinhard--">createTonemapReinhard</a></span>()</code>
|
|
<div class="block">Creates TonemapReinhard object
|
|
|
|
value, if 0 it's global, otherwise it's a weighted mean of this two cases.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i32" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/TonemapReinhard.html" title="class in org.opencv.photo">TonemapReinhard</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemapReinhard-float-">createTonemapReinhard</a></span>(float gamma)</code>
|
|
<div class="block">Creates TonemapReinhard object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i33" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/TonemapReinhard.html" title="class in org.opencv.photo">TonemapReinhard</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemapReinhard-float-float-">createTonemapReinhard</a></span>(float gamma,
|
|
float intensity)</code>
|
|
<div class="block">Creates TonemapReinhard object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i34" class="altColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/TonemapReinhard.html" title="class in org.opencv.photo">TonemapReinhard</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemapReinhard-float-float-float-">createTonemapReinhard</a></span>(float gamma,
|
|
float intensity,
|
|
float light_adapt)</code>
|
|
<div class="block">Creates TonemapReinhard object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i35" class="rowColor">
|
|
<td class="colFirst"><code>static <a href="../../../org/opencv/photo/TonemapReinhard.html" title="class in org.opencv.photo">TonemapReinhard</a></code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#createTonemapReinhard-float-float-float-float-">createTonemapReinhard</a></span>(float gamma,
|
|
float intensity,
|
|
float light_adapt,
|
|
float color_adapt)</code>
|
|
<div class="block">Creates TonemapReinhard object</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i36" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#decolor-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">decolor</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> grayscale,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> color_boost)</code>
|
|
<div class="block">Transforms a color image to a grayscale image.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i37" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#denoise_TVL1-java.util.List-org.opencv.core.Mat-">denoise_TVL1</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> observations,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> result)</code>
|
|
<div class="block">Primal-dual algorithm is an algorithm for solving special types of variational problems (that is,
|
|
finding a function to minimize some functional).</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i38" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#denoise_TVL1-java.util.List-org.opencv.core.Mat-double-">denoise_TVL1</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> observations,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> result,
|
|
double lambda)</code>
|
|
<div class="block">Primal-dual algorithm is an algorithm for solving special types of variational problems (that is,
|
|
finding a function to minimize some functional).</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i39" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#denoise_TVL1-java.util.List-org.opencv.core.Mat-double-int-">denoise_TVL1</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> observations,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> result,
|
|
double lambda,
|
|
int niters)</code>
|
|
<div class="block">Primal-dual algorithm is an algorithm for solving special types of variational problems (that is,
|
|
finding a function to minimize some functional).</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i40" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#detailEnhance-org.opencv.core.Mat-org.opencv.core.Mat-">detailEnhance</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
|
|
<div class="block">This filter enhances the details of a particular image.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i41" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#detailEnhance-org.opencv.core.Mat-org.opencv.core.Mat-float-">detailEnhance</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float sigma_s)</code>
|
|
<div class="block">This filter enhances the details of a particular image.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i42" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#detailEnhance-org.opencv.core.Mat-org.opencv.core.Mat-float-float-">detailEnhance</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float sigma_s,
|
|
float sigma_r)</code>
|
|
<div class="block">This filter enhances the details of a particular image.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i43" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#edgePreservingFilter-org.opencv.core.Mat-org.opencv.core.Mat-">edgePreservingFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
|
|
<div class="block">Filtering is the fundamental operation in image and video processing.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i44" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#edgePreservingFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-">edgePreservingFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int flags)</code>
|
|
<div class="block">Filtering is the fundamental operation in image and video processing.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i45" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#edgePreservingFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-float-">edgePreservingFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int flags,
|
|
float sigma_s)</code>
|
|
<div class="block">Filtering is the fundamental operation in image and video processing.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i46" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#edgePreservingFilter-org.opencv.core.Mat-org.opencv.core.Mat-int-float-float-">edgePreservingFilter</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int flags,
|
|
float sigma_s,
|
|
float sigma_r)</code>
|
|
<div class="block">Filtering is the fundamental operation in image and video processing.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i47" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoising-org.opencv.core.Mat-org.opencv.core.Mat-">fastNlMeansDenoising</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
|
|
<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i48" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoising-org.opencv.core.Mat-org.opencv.core.Mat-float-">fastNlMeansDenoising</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float h)</code>
|
|
<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i49" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoising-org.opencv.core.Mat-org.opencv.core.Mat-float-int-">fastNlMeansDenoising</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float h,
|
|
int templateWindowSize)</code>
|
|
<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i50" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoising-org.opencv.core.Mat-org.opencv.core.Mat-float-int-int-">fastNlMeansDenoising</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float h,
|
|
int templateWindowSize,
|
|
int searchWindowSize)</code>
|
|
<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i51" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoising-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfFloat-">fastNlMeansDenoising</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h)</code>
|
|
<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i52" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoising-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfFloat-int-">fastNlMeansDenoising</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h,
|
|
int templateWindowSize)</code>
|
|
<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i53" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoising-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfFloat-int-int-">fastNlMeansDenoising</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h,
|
|
int templateWindowSize,
|
|
int searchWindowSize)</code>
|
|
<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i54" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoising-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.MatOfFloat-int-int-int-">fastNlMeansDenoising</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h,
|
|
int templateWindowSize,
|
|
int searchWindowSize,
|
|
int normType)</code>
|
|
<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i55" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingColored-org.opencv.core.Mat-org.opencv.core.Mat-">fastNlMeansDenoisingColored</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
|
|
<div class="block">Modification of fastNlMeansDenoising function for colored images</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i56" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingColored-org.opencv.core.Mat-org.opencv.core.Mat-float-">fastNlMeansDenoisingColored</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float h)</code>
|
|
<div class="block">Modification of fastNlMeansDenoising function for colored images</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i57" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingColored-org.opencv.core.Mat-org.opencv.core.Mat-float-float-">fastNlMeansDenoisingColored</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float h,
|
|
float hColor)</code>
|
|
<div class="block">Modification of fastNlMeansDenoising function for colored images</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i58" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingColored-org.opencv.core.Mat-org.opencv.core.Mat-float-float-int-">fastNlMeansDenoisingColored</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float h,
|
|
float hColor,
|
|
int templateWindowSize)</code>
|
|
<div class="block">Modification of fastNlMeansDenoising function for colored images</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i59" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingColored-org.opencv.core.Mat-org.opencv.core.Mat-float-float-int-int-">fastNlMeansDenoisingColored</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float h,
|
|
float hColor,
|
|
int templateWindowSize,
|
|
int searchWindowSize)</code>
|
|
<div class="block">Modification of fastNlMeansDenoising function for colored images</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i60" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingColoredMulti-java.util.List-org.opencv.core.Mat-int-int-">fastNlMeansDenoisingColoredMulti</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize)</code>
|
|
<div class="block">Modification of fastNlMeansDenoisingMulti function for colored images sequences</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i61" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingColoredMulti-java.util.List-org.opencv.core.Mat-int-int-float-">fastNlMeansDenoisingColoredMulti</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
float h)</code>
|
|
<div class="block">Modification of fastNlMeansDenoisingMulti function for colored images sequences</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i62" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingColoredMulti-java.util.List-org.opencv.core.Mat-int-int-float-float-">fastNlMeansDenoisingColoredMulti</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
float h,
|
|
float hColor)</code>
|
|
<div class="block">Modification of fastNlMeansDenoisingMulti function for colored images sequences</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i63" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingColoredMulti-java.util.List-org.opencv.core.Mat-int-int-float-float-int-">fastNlMeansDenoisingColoredMulti</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
float h,
|
|
float hColor,
|
|
int templateWindowSize)</code>
|
|
<div class="block">Modification of fastNlMeansDenoisingMulti function for colored images sequences</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i64" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingColoredMulti-java.util.List-org.opencv.core.Mat-int-int-float-float-int-int-">fastNlMeansDenoisingColoredMulti</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
float h,
|
|
float hColor,
|
|
int templateWindowSize,
|
|
int searchWindowSize)</code>
|
|
<div class="block">Modification of fastNlMeansDenoisingMulti function for colored images sequences</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i65" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingMulti-java.util.List-org.opencv.core.Mat-int-int-">fastNlMeansDenoisingMulti</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize)</code>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i66" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingMulti-java.util.List-org.opencv.core.Mat-int-int-float-">fastNlMeansDenoisingMulti</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
float h)</code>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i67" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingMulti-java.util.List-org.opencv.core.Mat-int-int-float-int-">fastNlMeansDenoisingMulti</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
float h,
|
|
int templateWindowSize)</code>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i68" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingMulti-java.util.List-org.opencv.core.Mat-int-int-float-int-int-">fastNlMeansDenoisingMulti</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
float h,
|
|
int templateWindowSize,
|
|
int searchWindowSize)</code>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i69" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingMulti-java.util.List-org.opencv.core.Mat-int-int-org.opencv.core.MatOfFloat-">fastNlMeansDenoisingMulti</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h)</code>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i70" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingMulti-java.util.List-org.opencv.core.Mat-int-int-org.opencv.core.MatOfFloat-int-">fastNlMeansDenoisingMulti</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h,
|
|
int templateWindowSize)</code>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i71" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingMulti-java.util.List-org.opencv.core.Mat-int-int-org.opencv.core.MatOfFloat-int-int-">fastNlMeansDenoisingMulti</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h,
|
|
int templateWindowSize,
|
|
int searchWindowSize)</code>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i72" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#fastNlMeansDenoisingMulti-java.util.List-org.opencv.core.Mat-int-int-org.opencv.core.MatOfFloat-int-int-int-">fastNlMeansDenoisingMulti</a></span>(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h,
|
|
int templateWindowSize,
|
|
int searchWindowSize,
|
|
int normType)</code>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i73" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#illuminationChange-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">illuminationChange</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
|
|
<div class="block">Applying an appropriate non-linear transformation to the gradient field inside the selection and
|
|
then integrating back with a Poisson solver, modifies locally the apparent illumination of an image.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i74" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#illuminationChange-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-">illuminationChange</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float alpha)</code>
|
|
<div class="block">Applying an appropriate non-linear transformation to the gradient field inside the selection and
|
|
then integrating back with a Poisson solver, modifies locally the apparent illumination of an image.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i75" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#illuminationChange-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-float-">illuminationChange</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float alpha,
|
|
float beta)</code>
|
|
<div class="block">Applying an appropriate non-linear transformation to the gradient field inside the selection and
|
|
then integrating back with a Poisson solver, modifies locally the apparent illumination of an image.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i76" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#inpaint-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-double-int-">inpaint</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inpaintMask,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
double inpaintRadius,
|
|
int flags)</code>
|
|
<div class="block">Restores the selected region in an image using the region neighborhood.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i77" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#pencilSketch-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">pencilSketch</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst1,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst2)</code>
|
|
<div class="block">Pencil-like non-photorealistic line drawing</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i78" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#pencilSketch-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-">pencilSketch</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst1,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst2,
|
|
float sigma_s)</code>
|
|
<div class="block">Pencil-like non-photorealistic line drawing</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i79" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#pencilSketch-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-float-">pencilSketch</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst1,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst2,
|
|
float sigma_s,
|
|
float sigma_r)</code>
|
|
<div class="block">Pencil-like non-photorealistic line drawing</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i80" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#pencilSketch-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-float-float-">pencilSketch</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst1,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst2,
|
|
float sigma_s,
|
|
float sigma_r,
|
|
float shade_factor)</code>
|
|
<div class="block">Pencil-like non-photorealistic line drawing</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i81" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#seamlessClone-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Point-org.opencv.core.Mat-int-">seamlessClone</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
|
|
<a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> p,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blend,
|
|
int flags)</code>
|
|
<div class="block">Image editing tasks concern either global changes (color/intensity corrections, filters,
|
|
deformations) or local changes concerned to a selection.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i82" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#stylization-org.opencv.core.Mat-org.opencv.core.Mat-">stylization</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
|
|
<div class="block">Stylization aims to produce digital imagery with a wide variety of effects not focused on
|
|
photorealism.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i83" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#stylization-org.opencv.core.Mat-org.opencv.core.Mat-float-">stylization</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float sigma_s)</code>
|
|
<div class="block">Stylization aims to produce digital imagery with a wide variety of effects not focused on
|
|
photorealism.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i84" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#stylization-org.opencv.core.Mat-org.opencv.core.Mat-float-float-">stylization</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float sigma_s,
|
|
float sigma_r)</code>
|
|
<div class="block">Stylization aims to produce digital imagery with a wide variety of effects not focused on
|
|
photorealism.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i85" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#textureFlattening-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">textureFlattening</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</code>
|
|
<div class="block">By retaining only the gradients at edge locations, before integrating with the Poisson solver, one
|
|
washes out the texture of the selected region, giving its contents a flat aspect.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i86" class="altColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#textureFlattening-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-">textureFlattening</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float low_threshold)</code>
|
|
<div class="block">By retaining only the gradients at edge locations, before integrating with the Poisson solver, one
|
|
washes out the texture of the selected region, giving its contents a flat aspect.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i87" class="rowColor">
|
|
<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#textureFlattening-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-float-">textureFlattening</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float low_threshold,
|
|
float high_threshold)</code>
|
|
<div class="block">By retaining only the gradients at edge locations, before integrating with the Poisson solver, one
|
|
washes out the texture of the selected region, giving its contents a flat aspect.</div>
|
|
</td>
|
|
</tr>
|
|
<tr id="i88" class="altColor">
|
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<td class="colFirst"><code>static void</code></td>
|
|
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/photo/Photo.html#textureFlattening-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-float-int-">textureFlattening</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float low_threshold,
|
|
float high_threshold,
|
|
int kernel_size)</code>
|
|
<div class="block">By retaining only the gradients at edge locations, before integrating with the Poisson solver, one
|
|
washes out the texture of the selected region, giving its contents a flat aspect.</div>
|
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</td>
|
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</tr>
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<h3>Methods inherited from class java.lang.Object</h3>
|
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<code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
|
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</ul>
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<h4>INPAINT_NS</h4>
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<pre>public static final int INPAINT_NS</pre>
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<dl>
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<dt><span class="seeLabel">See Also:</span></dt>
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<dd><a href="../../../constant-values.html#org.opencv.photo.Photo.INPAINT_NS">Constant Field Values</a></dd>
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<pre>public static final int INPAINT_TELEA</pre>
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<dd><a href="../../../constant-values.html#org.opencv.photo.Photo.INPAINT_TELEA">Constant Field Values</a></dd>
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<h4>LDR_SIZE</h4>
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<pre>public static final int LDR_SIZE</pre>
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<dd><a href="../../../constant-values.html#org.opencv.photo.Photo.LDR_SIZE">Constant Field Values</a></dd>
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</li>
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<pre>public static final int MIXED_CLONE</pre>
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<dd><a href="../../../constant-values.html#org.opencv.photo.Photo.MIXED_CLONE">Constant Field Values</a></dd>
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<pre>public static final int MONOCHROME_TRANSFER</pre>
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<dt><span class="seeLabel">See Also:</span></dt>
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<dd><a href="../../../constant-values.html#org.opencv.photo.Photo.MONOCHROME_TRANSFER">Constant Field Values</a></dd>
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<h4>NORMAL_CLONE</h4>
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<pre>public static final int NORMAL_CLONE</pre>
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<dt><span class="seeLabel">See Also:</span></dt>
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<dd><a href="../../../constant-values.html#org.opencv.photo.Photo.NORMAL_CLONE">Constant Field Values</a></dd>
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</li>
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<pre>public static final int NORMCONV_FILTER</pre>
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<dt><span class="seeLabel">See Also:</span></dt>
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<dd><a href="../../../constant-values.html#org.opencv.photo.Photo.NORMCONV_FILTER">Constant Field Values</a></dd>
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</dl>
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</li>
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<h4>RECURS_FILTER</h4>
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<pre>public static final int RECURS_FILTER</pre>
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<dl>
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<dt><span class="seeLabel">See Also:</span></dt>
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<dd><a href="../../../constant-values.html#org.opencv.photo.Photo.RECURS_FILTER">Constant Field Values</a></dd>
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</dl>
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</li>
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</ul>
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</a>
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<a name="Photo--">
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<h4>Photo</h4>
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<pre>public Photo()</pre>
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</li>
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<a name="colorChange-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-">
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<h4>colorChange</h4>
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<pre>public static void colorChange(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
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<div class="block">Given an original color image, two differently colored versions of this image can be mixed
|
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seamlessly.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>mask</code> - Input 8-bit 1 or 3-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src .
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>mask</code> - Input 8-bit 1 or 3-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src .</dd>
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<dd><code>red_mul</code> - R-channel multiply factor.
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<pre>public static void colorChange(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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float red_mul,
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float green_mul)</pre>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>mask</code> - Input 8-bit 1 or 3-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src .</dd>
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<dd><code>red_mul</code> - R-channel multiply factor.</dd>
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<dd><code>green_mul</code> - G-channel multiply factor.
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<pre>public static void colorChange(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
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float red_mul,
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float green_mul,
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float blue_mul)</pre>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>mask</code> - Input 8-bit 1 or 3-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src .</dd>
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<dd><code>red_mul</code> - R-channel multiply factor.</dd>
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<dd><code>green_mul</code> - G-channel multiply factor.</dd>
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<dd><code>blue_mul</code> - B-channel multiply factor.
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Multiplication factor is between .5 to 2.5.</dd>
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<pre>public static <a href="../../../org/opencv/photo/AlignMTB.html" title="class in org.opencv.photo">AlignMTB</a> createAlignMTB()</pre>
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<div class="block">Creates AlignMTB object
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usually good enough (31 and 63 pixels shift respectively).
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median value.</div>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/AlignMTB.html" title="class in org.opencv.photo">AlignMTB</a> createAlignMTB(int max_bits)</pre>
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<div class="block">Creates AlignMTB object</div>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>max_bits</code> - logarithm to the base 2 of maximal shift in each dimension. Values of 5 and 6 are
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usually good enough (31 and 63 pixels shift respectively).
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median value.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/AlignMTB.html" title="class in org.opencv.photo">AlignMTB</a> createAlignMTB(int max_bits,
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int exclude_range)</pre>
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<div class="block">Creates AlignMTB object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>max_bits</code> - logarithm to the base 2 of maximal shift in each dimension. Values of 5 and 6 are
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usually good enough (31 and 63 pixels shift respectively).</dd>
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<dd><code>exclude_range</code> - range for exclusion bitmap that is constructed to suppress noise around the
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median value.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/AlignMTB.html" title="class in org.opencv.photo">AlignMTB</a> createAlignMTB(int max_bits,
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int exclude_range,
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boolean cut)</pre>
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<div class="block">Creates AlignMTB object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>max_bits</code> - logarithm to the base 2 of maximal shift in each dimension. Values of 5 and 6 are
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usually good enough (31 and 63 pixels shift respectively).</dd>
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<dd><code>exclude_range</code> - range for exclusion bitmap that is constructed to suppress noise around the
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median value.</dd>
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<dd><code>cut</code> - if true cuts images, otherwise fills the new regions with zeros.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/CalibrateDebevec.html" title="class in org.opencv.photo">CalibrateDebevec</a> createCalibrateDebevec()</pre>
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<div class="block">Creates CalibrateDebevec object
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response.
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rectangular grid.</div>
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<dl>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/CalibrateDebevec.html" title="class in org.opencv.photo">CalibrateDebevec</a> createCalibrateDebevec(int samples)</pre>
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<div class="block">Creates CalibrateDebevec object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>samples</code> - number of pixel locations to use
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response.
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rectangular grid.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/CalibrateDebevec.html" title="class in org.opencv.photo">CalibrateDebevec</a> createCalibrateDebevec(int samples,
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float lambda)</pre>
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<div class="block">Creates CalibrateDebevec object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>samples</code> - number of pixel locations to use</dd>
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<dd><code>lambda</code> - smoothness term weight. Greater values produce smoother results, but can alter the
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response.
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rectangular grid.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/CalibrateDebevec.html" title="class in org.opencv.photo">CalibrateDebevec</a> createCalibrateDebevec(int samples,
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float lambda,
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boolean random)</pre>
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<div class="block">Creates CalibrateDebevec object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>samples</code> - number of pixel locations to use</dd>
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<dd><code>lambda</code> - smoothness term weight. Greater values produce smoother results, but can alter the
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response.</dd>
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<dd><code>random</code> - if true sample pixel locations are chosen at random, otherwise they form a
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rectangular grid.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/CalibrateRobertson.html" title="class in org.opencv.photo">CalibrateRobertson</a> createCalibrateRobertson()</pre>
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<div class="block">Creates CalibrateRobertson object</div>
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<dl>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/CalibrateRobertson.html" title="class in org.opencv.photo">CalibrateRobertson</a> createCalibrateRobertson(int max_iter)</pre>
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<div class="block">Creates CalibrateRobertson object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>max_iter</code> - maximal number of Gauss-Seidel solver iterations.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/CalibrateRobertson.html" title="class in org.opencv.photo">CalibrateRobertson</a> createCalibrateRobertson(int max_iter,
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float threshold)</pre>
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<div class="block">Creates CalibrateRobertson object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>max_iter</code> - maximal number of Gauss-Seidel solver iterations.</dd>
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<dd><code>threshold</code> - target difference between results of two successive steps of the minimization.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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</dl>
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<pre>public static <a href="../../../org/opencv/photo/MergeDebevec.html" title="class in org.opencv.photo">MergeDebevec</a> createMergeDebevec()</pre>
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<div class="block">Creates MergeDebevec object</div>
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<dl>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/MergeMertens.html" title="class in org.opencv.photo">MergeMertens</a> createMergeMertens()</pre>
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<div class="block">Creates MergeMertens object</div>
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<dl>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/MergeMertens.html" title="class in org.opencv.photo">MergeMertens</a> createMergeMertens(float contrast_weight)</pre>
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<div class="block">Creates MergeMertens object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>contrast_weight</code> - contrast measure weight. See MergeMertens.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/MergeMertens.html" title="class in org.opencv.photo">MergeMertens</a> createMergeMertens(float contrast_weight,
|
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float saturation_weight)</pre>
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<div class="block">Creates MergeMertens object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>contrast_weight</code> - contrast measure weight. See MergeMertens.</dd>
|
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<dd><code>saturation_weight</code> - saturation measure weight</dd>
|
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/MergeMertens.html" title="class in org.opencv.photo">MergeMertens</a> createMergeMertens(float contrast_weight,
|
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float saturation_weight,
|
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float exposure_weight)</pre>
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<div class="block">Creates MergeMertens object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>contrast_weight</code> - contrast measure weight. See MergeMertens.</dd>
|
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<dd><code>saturation_weight</code> - saturation measure weight</dd>
|
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<dd><code>exposure_weight</code> - well-exposedness measure weight</dd>
|
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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</dl>
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<pre>public static <a href="../../../org/opencv/photo/MergeRobertson.html" title="class in org.opencv.photo">MergeRobertson</a> createMergeRobertson()</pre>
|
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<div class="block">Creates MergeRobertson object</div>
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<dl>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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</dl>
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<pre>public static <a href="../../../org/opencv/photo/Tonemap.html" title="class in org.opencv.photo">Tonemap</a> createTonemap()</pre>
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<div class="block">Creates simple linear mapper with gamma correction
|
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equal to 2.2f is suitable for most displays.
|
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Generally gamma > 1 brightens the image and gamma < 1 darkens it.</div>
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<dl>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/Tonemap.html" title="class in org.opencv.photo">Tonemap</a> createTonemap(float gamma)</pre>
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<div class="block">Creates simple linear mapper with gamma correction</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>gamma</code> - positive value for gamma correction. Gamma value of 1.0 implies no correction, gamma
|
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equal to 2.2f is suitable for most displays.
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|
Generally gamma > 1 brightens the image and gamma < 1 darkens it.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/TonemapDrago.html" title="class in org.opencv.photo">TonemapDrago</a> createTonemapDrago()</pre>
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than 1 increase saturation and values less than 1 decrease it.
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results, default value is 0.85.</div>
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<dt><span class="returnLabel">Returns:</span></dt>
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<pre>public static <a href="../../../org/opencv/photo/TonemapDrago.html" title="class in org.opencv.photo">TonemapDrago</a> createTonemapDrago(float gamma)</pre>
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<div class="block">Creates TonemapDrago object</div>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>gamma</code> - gamma value for gamma correction. See createTonemap
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than 1 increase saturation and values less than 1 decrease it.
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results, default value is 0.85.</dd>
|
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/TonemapDrago.html" title="class in org.opencv.photo">TonemapDrago</a> createTonemapDrago(float gamma,
|
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float saturation)</pre>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>gamma</code> - gamma value for gamma correction. See createTonemap</dd>
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<dd><code>saturation</code> - positive saturation enhancement value. 1.0 preserves saturation, values greater
|
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than 1 increase saturation and values less than 1 decrease it.
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results, default value is 0.85.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/TonemapDrago.html" title="class in org.opencv.photo">TonemapDrago</a> createTonemapDrago(float gamma,
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float saturation,
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float bias)</pre>
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<div class="block">Creates TonemapDrago object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>gamma</code> - gamma value for gamma correction. See createTonemap</dd>
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<dd><code>saturation</code> - positive saturation enhancement value. 1.0 preserves saturation, values greater
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than 1 increase saturation and values less than 1 decrease it.</dd>
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<dd><code>bias</code> - value for bias function in [0, 1] range. Values from 0.7 to 0.9 usually give best
|
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results, default value is 0.85.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/TonemapMantiuk.html" title="class in org.opencv.photo">TonemapMantiuk</a> createTonemapMantiuk()</pre>
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<div class="block">Creates TonemapMantiuk object
|
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dynamic range. Values from 0.6 to 0.9 produce best results.</div>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/TonemapMantiuk.html" title="class in org.opencv.photo">TonemapMantiuk</a> createTonemapMantiuk(float gamma)</pre>
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<div class="block">Creates TonemapMantiuk object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>gamma</code> - gamma value for gamma correction. See createTonemap
|
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dynamic range. Values from 0.6 to 0.9 produce best results.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/TonemapMantiuk.html" title="class in org.opencv.photo">TonemapMantiuk</a> createTonemapMantiuk(float gamma,
|
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float scale)</pre>
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<div class="block">Creates TonemapMantiuk object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>gamma</code> - gamma value for gamma correction. See createTonemap</dd>
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<dd><code>scale</code> - contrast scale factor. HVS response is multiplied by this parameter, thus compressing
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dynamic range. Values from 0.6 to 0.9 produce best results.</dd>
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/TonemapMantiuk.html" title="class in org.opencv.photo">TonemapMantiuk</a> createTonemapMantiuk(float gamma,
|
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float scale,
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float saturation)</pre>
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<div class="block">Creates TonemapMantiuk object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>gamma</code> - gamma value for gamma correction. See createTonemap</dd>
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<dd><code>scale</code> - contrast scale factor. HVS response is multiplied by this parameter, thus compressing
|
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dynamic range. Values from 0.6 to 0.9 produce best results.</dd>
|
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<dd><code>saturation</code> - saturation enhancement value. See createTonemapDrago</dd>
|
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<dt><span class="returnLabel">Returns:</span></dt>
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/TonemapReinhard.html" title="class in org.opencv.photo">TonemapReinhard</a> createTonemapReinhard()</pre>
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<div class="block">Creates TonemapReinhard object
|
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value, if 0 it's global, otherwise it's a weighted mean of this two cases.
|
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if 0 adaptation level is the same for each channel.</div>
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<dt><span class="returnLabel">Returns:</span></dt>
|
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<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/TonemapReinhard.html" title="class in org.opencv.photo">TonemapReinhard</a> createTonemapReinhard(float gamma)</pre>
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<div class="block">Creates TonemapReinhard object</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>gamma</code> - gamma value for gamma correction. See createTonemap
|
|
value, if 0 it's global, otherwise it's a weighted mean of this two cases.
|
|
if 0 adaptation level is the same for each channel.</dd>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
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<pre>public static <a href="../../../org/opencv/photo/TonemapReinhard.html" title="class in org.opencv.photo">TonemapReinhard</a> createTonemapReinhard(float gamma,
|
|
float intensity)</pre>
|
|
<div class="block">Creates TonemapReinhard object</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>gamma</code> - gamma value for gamma correction. See createTonemap</dd>
|
|
<dd><code>intensity</code> - result intensity in [-8, 8] range. Greater intensity produces brighter results.
|
|
value, if 0 it's global, otherwise it's a weighted mean of this two cases.
|
|
if 0 adaptation level is the same for each channel.</dd>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
|
|
</dl>
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<pre>public static <a href="../../../org/opencv/photo/TonemapReinhard.html" title="class in org.opencv.photo">TonemapReinhard</a> createTonemapReinhard(float gamma,
|
|
float intensity,
|
|
float light_adapt)</pre>
|
|
<div class="block">Creates TonemapReinhard object</div>
|
|
<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>gamma</code> - gamma value for gamma correction. See createTonemap</dd>
|
|
<dd><code>intensity</code> - result intensity in [-8, 8] range. Greater intensity produces brighter results.</dd>
|
|
<dd><code>light_adapt</code> - light adaptation in [0, 1] range. If 1 adaptation is based only on pixel
|
|
value, if 0 it's global, otherwise it's a weighted mean of this two cases.
|
|
if 0 adaptation level is the same for each channel.</dd>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
|
|
</dl>
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<pre>public static <a href="../../../org/opencv/photo/TonemapReinhard.html" title="class in org.opencv.photo">TonemapReinhard</a> createTonemapReinhard(float gamma,
|
|
float intensity,
|
|
float light_adapt,
|
|
float color_adapt)</pre>
|
|
<div class="block">Creates TonemapReinhard object</div>
|
|
<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>gamma</code> - gamma value for gamma correction. See createTonemap</dd>
|
|
<dd><code>intensity</code> - result intensity in [-8, 8] range. Greater intensity produces brighter results.</dd>
|
|
<dd><code>light_adapt</code> - light adaptation in [0, 1] range. If 1 adaptation is based only on pixel
|
|
value, if 0 it's global, otherwise it's a weighted mean of this two cases.</dd>
|
|
<dd><code>color_adapt</code> - chromatic adaptation in [0, 1] range. If 1 channels are treated independently,
|
|
if 0 adaptation level is the same for each channel.</dd>
|
|
<dt><span class="returnLabel">Returns:</span></dt>
|
|
<dd>automatically generated</dd>
|
|
</dl>
|
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</li>
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</ul>
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<h4>decolor</h4>
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<pre>public static void decolor(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> grayscale,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> color_boost)</pre>
|
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<div class="block">Transforms a color image to a grayscale image. It is a basic tool in digital printing, stylized
|
|
black-and-white photograph rendering, and in many single channel image processing applications
|
|
CITE: CL12 .</div>
|
|
<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
|
|
<dd><code>grayscale</code> - Output 8-bit 1-channel image.</dd>
|
|
<dd><code>color_boost</code> - Output 8-bit 3-channel image.
|
|
|
|
This function is to be applied on color images.</dd>
|
|
</dl>
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<pre>public static void denoise_TVL1(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> observations,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> result)</pre>
|
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<div class="block">Primal-dual algorithm is an algorithm for solving special types of variational problems (that is,
|
|
finding a function to minimize some functional). As the image denoising, in particular, may be seen
|
|
as the variational problem, primal-dual algorithm then can be used to perform denoising and this is
|
|
exactly what is implemented.
|
|
|
|
It should be noted, that this implementation was taken from the July 2013 blog entry
|
|
CITE: MA13 , which also contained (slightly more general) ready-to-use source code on Python.
|
|
Subsequently, that code was rewritten on C++ with the usage of openCV by Vadim Pisarevsky at the end
|
|
of July 2013 and finally it was slightly adapted by later authors.
|
|
|
|
Although the thorough discussion and justification of the algorithm involved may be found in
|
|
CITE: ChambolleEtAl, it might make sense to skim over it here, following CITE: MA13 . To begin
|
|
with, we consider the 1-byte gray-level images as the functions from the rectangular domain of
|
|
pixels (it may be seen as set
|
|
\(\left\{(x,y)\in\mathbb{N}\times\mathbb{N}\mid 1\leq x\leq n,\;1\leq y\leq m\right\}\) for some
|
|
\(m,\;n\in\mathbb{N}\)) into \(\{0,1,\dots,255\}\). We shall denote the noised images as \(f_i\) and with
|
|
this view, given some image \(x\) of the same size, we may measure how bad it is by the formula
|
|
|
|
\(\left\|\left\|\nabla x\right\|\right\| + \lambda\sum_i\left\|\left\|x-f_i\right\|\right\|\)
|
|
|
|
\(\|\|\cdot\|\|\) here denotes \(L_2\)-norm and as you see, the first addend states that we want our
|
|
image to be smooth (ideally, having zero gradient, thus being constant) and the second states that
|
|
we want our result to be close to the observations we've got. If we treat \(x\) as a function, this is
|
|
exactly the functional what we seek to minimize and here the Primal-Dual algorithm comes into play.</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>observations</code> - This array should contain one or more noised versions of the image that is to
|
|
be restored.</dd>
|
|
<dd><code>result</code> - Here the denoised image will be stored. There is no need to do pre-allocation of
|
|
storage space, as it will be automatically allocated, if necessary.
|
|
(blurred) images are treated more favorably than detailed (but maybe more noised) ones. Roughly
|
|
speaking, as it becomes smaller, the result will be more blur but more sever outliers will be
|
|
removed.
|
|
better, but it is hard to quantitatively refine this statement, so just use the default and
|
|
increase it if the results are poor.</dd>
|
|
</dl>
|
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</li>
|
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</ul>
|
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<pre>public static void denoise_TVL1(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> observations,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> result,
|
|
double lambda)</pre>
|
|
<div class="block">Primal-dual algorithm is an algorithm for solving special types of variational problems (that is,
|
|
finding a function to minimize some functional). As the image denoising, in particular, may be seen
|
|
as the variational problem, primal-dual algorithm then can be used to perform denoising and this is
|
|
exactly what is implemented.
|
|
|
|
It should be noted, that this implementation was taken from the July 2013 blog entry
|
|
CITE: MA13 , which also contained (slightly more general) ready-to-use source code on Python.
|
|
Subsequently, that code was rewritten on C++ with the usage of openCV by Vadim Pisarevsky at the end
|
|
of July 2013 and finally it was slightly adapted by later authors.
|
|
|
|
Although the thorough discussion and justification of the algorithm involved may be found in
|
|
CITE: ChambolleEtAl, it might make sense to skim over it here, following CITE: MA13 . To begin
|
|
with, we consider the 1-byte gray-level images as the functions from the rectangular domain of
|
|
pixels (it may be seen as set
|
|
\(\left\{(x,y)\in\mathbb{N}\times\mathbb{N}\mid 1\leq x\leq n,\;1\leq y\leq m\right\}\) for some
|
|
\(m,\;n\in\mathbb{N}\)) into \(\{0,1,\dots,255\}\). We shall denote the noised images as \(f_i\) and with
|
|
this view, given some image \(x\) of the same size, we may measure how bad it is by the formula
|
|
|
|
\(\left\|\left\|\nabla x\right\|\right\| + \lambda\sum_i\left\|\left\|x-f_i\right\|\right\|\)
|
|
|
|
\(\|\|\cdot\|\|\) here denotes \(L_2\)-norm and as you see, the first addend states that we want our
|
|
image to be smooth (ideally, having zero gradient, thus being constant) and the second states that
|
|
we want our result to be close to the observations we've got. If we treat \(x\) as a function, this is
|
|
exactly the functional what we seek to minimize and here the Primal-Dual algorithm comes into play.</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>observations</code> - This array should contain one or more noised versions of the image that is to
|
|
be restored.</dd>
|
|
<dd><code>result</code> - Here the denoised image will be stored. There is no need to do pre-allocation of
|
|
storage space, as it will be automatically allocated, if necessary.</dd>
|
|
<dd><code>lambda</code> - Corresponds to \(\lambda\) in the formulas above. As it is enlarged, the smooth
|
|
(blurred) images are treated more favorably than detailed (but maybe more noised) ones. Roughly
|
|
speaking, as it becomes smaller, the result will be more blur but more sever outliers will be
|
|
removed.
|
|
better, but it is hard to quantitatively refine this statement, so just use the default and
|
|
increase it if the results are poor.</dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
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<pre>public static void denoise_TVL1(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> observations,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> result,
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double lambda,
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int niters)</pre>
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<div class="block">Primal-dual algorithm is an algorithm for solving special types of variational problems (that is,
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finding a function to minimize some functional). As the image denoising, in particular, may be seen
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as the variational problem, primal-dual algorithm then can be used to perform denoising and this is
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exactly what is implemented.
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It should be noted, that this implementation was taken from the July 2013 blog entry
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CITE: MA13 , which also contained (slightly more general) ready-to-use source code on Python.
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Subsequently, that code was rewritten on C++ with the usage of openCV by Vadim Pisarevsky at the end
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of July 2013 and finally it was slightly adapted by later authors.
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Although the thorough discussion and justification of the algorithm involved may be found in
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CITE: ChambolleEtAl, it might make sense to skim over it here, following CITE: MA13 . To begin
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with, we consider the 1-byte gray-level images as the functions from the rectangular domain of
|
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pixels (it may be seen as set
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\(\left\{(x,y)\in\mathbb{N}\times\mathbb{N}\mid 1\leq x\leq n,\;1\leq y\leq m\right\}\) for some
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\(m,\;n\in\mathbb{N}\)) into \(\{0,1,\dots,255\}\). We shall denote the noised images as \(f_i\) and with
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this view, given some image \(x\) of the same size, we may measure how bad it is by the formula
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\(\left\|\left\|\nabla x\right\|\right\| + \lambda\sum_i\left\|\left\|x-f_i\right\|\right\|\)
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\(\|\|\cdot\|\|\) here denotes \(L_2\)-norm and as you see, the first addend states that we want our
|
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image to be smooth (ideally, having zero gradient, thus being constant) and the second states that
|
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we want our result to be close to the observations we've got. If we treat \(x\) as a function, this is
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exactly the functional what we seek to minimize and here the Primal-Dual algorithm comes into play.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>observations</code> - This array should contain one or more noised versions of the image that is to
|
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be restored.</dd>
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<dd><code>result</code> - Here the denoised image will be stored. There is no need to do pre-allocation of
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storage space, as it will be automatically allocated, if necessary.</dd>
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<dd><code>lambda</code> - Corresponds to \(\lambda\) in the formulas above. As it is enlarged, the smooth
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(blurred) images are treated more favorably than detailed (but maybe more noised) ones. Roughly
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speaking, as it becomes smaller, the result will be more blur but more sever outliers will be
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removed.</dd>
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<dd><code>niters</code> - Number of iterations that the algorithm will run. Of course, as more iterations as
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better, but it is hard to quantitatively refine this statement, so just use the default and
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increase it if the results are poor.</dd>
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</dl>
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<pre>public static void detailEnhance(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
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<div class="block">This filter enhances the details of a particular image.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src.</dd>
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<pre>public static void detailEnhance(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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float sigma_s)</pre>
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<div class="block">This filter enhances the details of a particular image.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src.</dd>
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<dd><code>sigma_s</code> - %Range between 0 to 200.</dd>
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<pre>public static void detailEnhance(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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float sigma_s,
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float sigma_r)</pre>
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<div class="block">This filter enhances the details of a particular image.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src.</dd>
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<dd><code>sigma_s</code> - %Range between 0 to 200.</dd>
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<dd><code>sigma_r</code> - %Range between 0 to 1.</dd>
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
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<div class="block">Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing
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filters are used in many different applications CITE: EM11 .</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>dst</code> - Output 8-bit 3-channel image.</dd>
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<pre>public static void edgePreservingFilter(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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int flags)</pre>
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<div class="block">Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing
|
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filters are used in many different applications CITE: EM11 .</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>dst</code> - Output 8-bit 3-channel image.</dd>
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<dd><code>flags</code> - Edge preserving filters: cv::RECURS_FILTER or cv::NORMCONV_FILTER</dd>
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<pre>public static void edgePreservingFilter(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
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int flags,
|
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float sigma_s)</pre>
|
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<div class="block">Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing
|
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filters are used in many different applications CITE: EM11 .</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>dst</code> - Output 8-bit 3-channel image.</dd>
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<dd><code>flags</code> - Edge preserving filters: cv::RECURS_FILTER or cv::NORMCONV_FILTER</dd>
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<dd><code>sigma_s</code> - %Range between 0 to 200.</dd>
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<pre>public static void edgePreservingFilter(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
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int flags,
|
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float sigma_s,
|
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float sigma_r)</pre>
|
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<div class="block">Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing
|
|
filters are used in many different applications CITE: EM11 .</div>
|
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
|
|
<dd><code>dst</code> - Output 8-bit 3-channel image.</dd>
|
|
<dd><code>flags</code> - Edge preserving filters: cv::RECURS_FILTER or cv::NORMCONV_FILTER</dd>
|
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<dd><code>sigma_s</code> - %Range between 0 to 200.</dd>
|
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<dd><code>sigma_r</code> - %Range between 0 to 1.</dd>
|
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</dl>
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<pre>public static void fastNlMeansDenoising(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
|
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<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations. Noise expected to be a gaussian white noise</div>
|
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
|
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<dd><code>src</code> - Input 8-bit 1-channel, 2-channel, 3-channel or 4-channel image.</dd>
|
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<dd><code>dst</code> - Output image with the same size and type as src .
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels
|
|
removes image details, smaller h value preserves details but also preserves some noise
|
|
|
|
This function expected to be applied to grayscale images. For colored images look at
|
|
fastNlMeansDenoisingColored. Advanced usage of this functions can be manual denoising of colored
|
|
image in different colorspaces. Such approach is used in fastNlMeansDenoisingColored by converting
|
|
image to CIELAB colorspace and then separately denoise L and AB components with different h
|
|
parameter.</dd>
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</dl>
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<pre>public static void fastNlMeansDenoising(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float h)</pre>
|
|
<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations. Noise expected to be a gaussian white noise</div>
|
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>src</code> - Input 8-bit 1-channel, 2-channel, 3-channel or 4-channel image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as src .
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Parameter regulating filter strength. Big h value perfectly removes noise but also
|
|
removes image details, smaller h value preserves details but also preserves some noise
|
|
|
|
This function expected to be applied to grayscale images. For colored images look at
|
|
fastNlMeansDenoisingColored. Advanced usage of this functions can be manual denoising of colored
|
|
image in different colorspaces. Such approach is used in fastNlMeansDenoisingColored by converting
|
|
image to CIELAB colorspace and then separately denoise L and AB components with different h
|
|
parameter.</dd>
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</dl>
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<pre>public static void fastNlMeansDenoising(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
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float h,
|
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int templateWindowSize)</pre>
|
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<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations. Noise expected to be a gaussian white noise</div>
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>src</code> - Input 8-bit 1-channel, 2-channel, 3-channel or 4-channel image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as src .</dd>
|
|
<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Parameter regulating filter strength. Big h value perfectly removes noise but also
|
|
removes image details, smaller h value preserves details but also preserves some noise
|
|
|
|
This function expected to be applied to grayscale images. For colored images look at
|
|
fastNlMeansDenoisingColored. Advanced usage of this functions can be manual denoising of colored
|
|
image in different colorspaces. Such approach is used in fastNlMeansDenoisingColored by converting
|
|
image to CIELAB colorspace and then separately denoise L and AB components with different h
|
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parameter.</dd>
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<pre>public static void fastNlMeansDenoising(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float h,
|
|
int templateWindowSize,
|
|
int searchWindowSize)</pre>
|
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<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations. Noise expected to be a gaussian white noise</div>
|
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
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<dd><code>src</code> - Input 8-bit 1-channel, 2-channel, 3-channel or 4-channel image.</dd>
|
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<dd><code>dst</code> - Output image with the same size and type as src .</dd>
|
|
<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
|
|
Should be odd. Recommended value 7 pixels</dd>
|
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<dd><code>searchWindowSize</code> - Size in pixels of the window that is used to compute weighted average for
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Parameter regulating filter strength. Big h value perfectly removes noise but also
|
|
removes image details, smaller h value preserves details but also preserves some noise
|
|
|
|
This function expected to be applied to grayscale images. For colored images look at
|
|
fastNlMeansDenoisingColored. Advanced usage of this functions can be manual denoising of colored
|
|
image in different colorspaces. Such approach is used in fastNlMeansDenoisingColored by converting
|
|
image to CIELAB colorspace and then separately denoise L and AB components with different h
|
|
parameter.</dd>
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<pre>public static void fastNlMeansDenoising(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
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<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h)</pre>
|
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<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations. Noise expected to be a gaussian white noise</div>
|
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>src</code> - Input 8-bit or 16-bit (only with NORM_L1) 1-channel,
|
|
2-channel, 3-channel or 4-channel image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as src .
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Array of parameters regulating filter strength, either one
|
|
parameter applied to all channels or one per channel in dst. Big h value
|
|
perfectly removes noise but also removes image details, smaller h
|
|
value preserves details but also preserves some noise
|
|
|
|
This function expected to be applied to grayscale images. For colored images look at
|
|
fastNlMeansDenoisingColored. Advanced usage of this functions can be manual denoising of colored
|
|
image in different colorspaces. Such approach is used in fastNlMeansDenoisingColored by converting
|
|
image to CIELAB colorspace and then separately denoise L and AB components with different h
|
|
parameter.</dd>
|
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</dl>
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</li>
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<pre>public static void fastNlMeansDenoising(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h,
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int templateWindowSize)</pre>
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<div class="block">Perform image denoising using Non-local Means Denoising algorithm
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<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations. Noise expected to be a gaussian white noise</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit or 16-bit (only with NORM_L1) 1-channel,
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2-channel, 3-channel or 4-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src .</dd>
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<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
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Should be odd. Recommended value 7 pixels
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|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Array of parameters regulating filter strength, either one
|
|
parameter applied to all channels or one per channel in dst. Big h value
|
|
perfectly removes noise but also removes image details, smaller h
|
|
value preserves details but also preserves some noise
|
|
|
|
This function expected to be applied to grayscale images. For colored images look at
|
|
fastNlMeansDenoisingColored. Advanced usage of this functions can be manual denoising of colored
|
|
image in different colorspaces. Such approach is used in fastNlMeansDenoisingColored by converting
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image to CIELAB colorspace and then separately denoise L and AB components with different h
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parameter.</dd>
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</dl>
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<pre>public static void fastNlMeansDenoising(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h,
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int templateWindowSize,
|
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int searchWindowSize)</pre>
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<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations. Noise expected to be a gaussian white noise</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit or 16-bit (only with NORM_L1) 1-channel,
|
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2-channel, 3-channel or 4-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src .</dd>
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<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
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Should be odd. Recommended value 7 pixels</dd>
|
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<dd><code>searchWindowSize</code> - Size in pixels of the window that is used to compute weighted average for
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Array of parameters regulating filter strength, either one
|
|
parameter applied to all channels or one per channel in dst. Big h value
|
|
perfectly removes noise but also removes image details, smaller h
|
|
value preserves details but also preserves some noise
|
|
|
|
This function expected to be applied to grayscale images. For colored images look at
|
|
fastNlMeansDenoisingColored. Advanced usage of this functions can be manual denoising of colored
|
|
image in different colorspaces. Such approach is used in fastNlMeansDenoisingColored by converting
|
|
image to CIELAB colorspace and then separately denoise L and AB components with different h
|
|
parameter.</dd>
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</dl>
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</li>
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</ul>
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<pre>public static void fastNlMeansDenoising(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
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<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h,
|
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int templateWindowSize,
|
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int searchWindowSize,
|
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int normType)</pre>
|
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<div class="block">Perform image denoising using Non-local Means Denoising algorithm
|
|
<http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational
|
|
optimizations. Noise expected to be a gaussian white noise</div>
|
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
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<dd><code>src</code> - Input 8-bit or 16-bit (only with NORM_L1) 1-channel,
|
|
2-channel, 3-channel or 4-channel image.</dd>
|
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<dd><code>dst</code> - Output image with the same size and type as src .</dd>
|
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<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
|
|
Should be odd. Recommended value 7 pixels</dd>
|
|
<dd><code>searchWindowSize</code> - Size in pixels of the window that is used to compute weighted average for
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Array of parameters regulating filter strength, either one
|
|
parameter applied to all channels or one per channel in dst. Big h value
|
|
perfectly removes noise but also removes image details, smaller h
|
|
value preserves details but also preserves some noise</dd>
|
|
<dd><code>normType</code> - Type of norm used for weight calculation. Can be either NORM_L2 or NORM_L1
|
|
|
|
This function expected to be applied to grayscale images. For colored images look at
|
|
fastNlMeansDenoisingColored. Advanced usage of this functions can be manual denoising of colored
|
|
image in different colorspaces. Such approach is used in fastNlMeansDenoisingColored by converting
|
|
image to CIELAB colorspace and then separately denoise L and AB components with different h
|
|
parameter.</dd>
|
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</dl>
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</li>
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</ul>
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<pre>public static void fastNlMeansDenoisingColored(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
|
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<div class="block">Modification of fastNlMeansDenoising function for colored images</div>
|
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
|
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
|
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<dd><code>dst</code> - Output image with the same size and type as src .
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels
|
|
removes noise but also removes image details, smaller h value preserves details but also preserves
|
|
some noise
|
|
will be enough to remove colored noise and do not distort colors
|
|
|
|
The function converts image to CIELAB colorspace and then separately denoise L and AB components
|
|
with given h parameters using fastNlMeansDenoising function.</dd>
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</dl>
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</li>
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</ul>
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<a name="fastNlMeansDenoisingColored-org.opencv.core.Mat-org.opencv.core.Mat-float-">
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<h4>fastNlMeansDenoisingColored</h4>
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<pre>public static void fastNlMeansDenoisingColored(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
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float h)</pre>
|
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<div class="block">Modification of fastNlMeansDenoising function for colored images</div>
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
|
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<dd><code>dst</code> - Output image with the same size and type as src .
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Parameter regulating filter strength for luminance component. Bigger h value perfectly
|
|
removes noise but also removes image details, smaller h value preserves details but also preserves
|
|
some noise
|
|
will be enough to remove colored noise and do not distort colors
|
|
|
|
The function converts image to CIELAB colorspace and then separately denoise L and AB components
|
|
with given h parameters using fastNlMeansDenoising function.</dd>
|
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</dl>
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</li>
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</ul>
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<h4>fastNlMeansDenoisingColored</h4>
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<pre>public static void fastNlMeansDenoisingColored(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
float h,
|
|
float hColor)</pre>
|
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<div class="block">Modification of fastNlMeansDenoising function for colored images</div>
|
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
|
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<dd><code>dst</code> - Output image with the same size and type as src .
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Parameter regulating filter strength for luminance component. Bigger h value perfectly
|
|
removes noise but also removes image details, smaller h value preserves details but also preserves
|
|
some noise</dd>
|
|
<dd><code>hColor</code> - The same as h but for color components. For most images value equals 10
|
|
will be enough to remove colored noise and do not distort colors
|
|
|
|
The function converts image to CIELAB colorspace and then separately denoise L and AB components
|
|
with given h parameters using fastNlMeansDenoising function.</dd>
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</dl>
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</li>
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</ul>
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<a name="fastNlMeansDenoisingColored-org.opencv.core.Mat-org.opencv.core.Mat-float-float-int-">
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<h4>fastNlMeansDenoisingColored</h4>
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<pre>public static void fastNlMeansDenoisingColored(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
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float h,
|
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float hColor,
|
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int templateWindowSize)</pre>
|
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<div class="block">Modification of fastNlMeansDenoising function for colored images</div>
|
|
<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as src .</dd>
|
|
<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Parameter regulating filter strength for luminance component. Bigger h value perfectly
|
|
removes noise but also removes image details, smaller h value preserves details but also preserves
|
|
some noise</dd>
|
|
<dd><code>hColor</code> - The same as h but for color components. For most images value equals 10
|
|
will be enough to remove colored noise and do not distort colors
|
|
|
|
The function converts image to CIELAB colorspace and then separately denoise L and AB components
|
|
with given h parameters using fastNlMeansDenoising function.</dd>
|
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</dl>
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</li>
|
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</ul>
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<a name="fastNlMeansDenoisingColored-org.opencv.core.Mat-org.opencv.core.Mat-float-float-int-int-">
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<h4>fastNlMeansDenoisingColored</h4>
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<pre>public static void fastNlMeansDenoisingColored(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
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float h,
|
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float hColor,
|
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int templateWindowSize,
|
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int searchWindowSize)</pre>
|
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<div class="block">Modification of fastNlMeansDenoising function for colored images</div>
|
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
|
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<dd><code>dst</code> - Output image with the same size and type as src .</dd>
|
|
<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
|
|
Should be odd. Recommended value 7 pixels</dd>
|
|
<dd><code>searchWindowSize</code> - Size in pixels of the window that is used to compute weighted average for
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Parameter regulating filter strength for luminance component. Bigger h value perfectly
|
|
removes noise but also removes image details, smaller h value preserves details but also preserves
|
|
some noise</dd>
|
|
<dd><code>hColor</code> - The same as h but for color components. For most images value equals 10
|
|
will be enough to remove colored noise and do not distort colors
|
|
|
|
The function converts image to CIELAB colorspace and then separately denoise L and AB components
|
|
with given h parameters using fastNlMeansDenoising function.</dd>
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</dl>
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</li>
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</ul>
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<a name="fastNlMeansDenoisingColoredMulti-java.util.List-org.opencv.core.Mat-int-int-">
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<h4>fastNlMeansDenoisingColoredMulti</h4>
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<pre>public static void fastNlMeansDenoisingColoredMulti(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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int imgToDenoiseIndex,
|
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int temporalWindowSize)</pre>
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<div class="block">Modification of fastNlMeansDenoisingMulti function for colored images sequences</div>
|
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>srcImgs</code> - Input 8-bit 3-channel images sequence. All images should have the same type and
|
|
size.</dd>
|
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<dd><code>imgToDenoiseIndex</code> - Target image to denoise index in srcImgs sequence</dd>
|
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<dd><code>temporalWindowSize</code> - Number of surrounding images to use for target image denoising. Should
|
|
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
|
|
imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise
|
|
srcImgs[imgToDenoiseIndex] image.</dd>
|
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<dd><code>dst</code> - Output image with the same size and type as srcImgs images.
|
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Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels
|
|
removes noise but also removes image details, smaller h value preserves details but also preserves
|
|
some noise.
|
|
|
|
The function converts images to CIELAB colorspace and then separately denoise L and AB components
|
|
with given h parameters using fastNlMeansDenoisingMulti function.</dd>
|
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</dl>
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</li>
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</ul>
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<a name="fastNlMeansDenoisingColoredMulti-java.util.List-org.opencv.core.Mat-int-int-float-">
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<h4>fastNlMeansDenoisingColoredMulti</h4>
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<pre>public static void fastNlMeansDenoisingColoredMulti(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
float h)</pre>
|
|
<div class="block">Modification of fastNlMeansDenoisingMulti function for colored images sequences</div>
|
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>srcImgs</code> - Input 8-bit 3-channel images sequence. All images should have the same type and
|
|
size.</dd>
|
|
<dd><code>imgToDenoiseIndex</code> - Target image to denoise index in srcImgs sequence</dd>
|
|
<dd><code>temporalWindowSize</code> - Number of surrounding images to use for target image denoising. Should
|
|
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
|
|
imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise
|
|
srcImgs[imgToDenoiseIndex] image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as srcImgs images.
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Parameter regulating filter strength for luminance component. Bigger h value perfectly
|
|
removes noise but also removes image details, smaller h value preserves details but also preserves
|
|
some noise.
|
|
|
|
The function converts images to CIELAB colorspace and then separately denoise L and AB components
|
|
with given h parameters using fastNlMeansDenoisingMulti function.</dd>
|
|
</dl>
|
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</li>
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</ul>
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<a name="fastNlMeansDenoisingColoredMulti-java.util.List-org.opencv.core.Mat-int-int-float-float-">
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<pre>public static void fastNlMeansDenoisingColoredMulti(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
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int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
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float h,
|
|
float hColor)</pre>
|
|
<div class="block">Modification of fastNlMeansDenoisingMulti function for colored images sequences</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>srcImgs</code> - Input 8-bit 3-channel images sequence. All images should have the same type and
|
|
size.</dd>
|
|
<dd><code>imgToDenoiseIndex</code> - Target image to denoise index in srcImgs sequence</dd>
|
|
<dd><code>temporalWindowSize</code> - Number of surrounding images to use for target image denoising. Should
|
|
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
|
|
imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise
|
|
srcImgs[imgToDenoiseIndex] image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as srcImgs images.
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Parameter regulating filter strength for luminance component. Bigger h value perfectly
|
|
removes noise but also removes image details, smaller h value preserves details but also preserves
|
|
some noise.</dd>
|
|
<dd><code>hColor</code> - The same as h but for color components.
|
|
|
|
The function converts images to CIELAB colorspace and then separately denoise L and AB components
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with given h parameters using fastNlMeansDenoisingMulti function.</dd>
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<pre>public static void fastNlMeansDenoisingColoredMulti(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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int imgToDenoiseIndex,
|
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int temporalWindowSize,
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float h,
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float hColor,
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int templateWindowSize)</pre>
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<div class="block">Modification of fastNlMeansDenoisingMulti function for colored images sequences</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>srcImgs</code> - Input 8-bit 3-channel images sequence. All images should have the same type and
|
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size.</dd>
|
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<dd><code>imgToDenoiseIndex</code> - Target image to denoise index in srcImgs sequence</dd>
|
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<dd><code>temporalWindowSize</code> - Number of surrounding images to use for target image denoising. Should
|
|
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
|
|
imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise
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srcImgs[imgToDenoiseIndex] image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as srcImgs images.</dd>
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<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
|
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Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
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<dd><code>h</code> - Parameter regulating filter strength for luminance component. Bigger h value perfectly
|
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removes noise but also removes image details, smaller h value preserves details but also preserves
|
|
some noise.</dd>
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<dd><code>hColor</code> - The same as h but for color components.
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|
|
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The function converts images to CIELAB colorspace and then separately denoise L and AB components
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with given h parameters using fastNlMeansDenoisingMulti function.</dd>
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</dl>
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</li>
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<pre>public static void fastNlMeansDenoisingColoredMulti(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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int imgToDenoiseIndex,
|
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int temporalWindowSize,
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float h,
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float hColor,
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int templateWindowSize,
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int searchWindowSize)</pre>
|
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<div class="block">Modification of fastNlMeansDenoisingMulti function for colored images sequences</div>
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>srcImgs</code> - Input 8-bit 3-channel images sequence. All images should have the same type and
|
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size.</dd>
|
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<dd><code>imgToDenoiseIndex</code> - Target image to denoise index in srcImgs sequence</dd>
|
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<dd><code>temporalWindowSize</code> - Number of surrounding images to use for target image denoising. Should
|
|
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
|
|
imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise
|
|
srcImgs[imgToDenoiseIndex] image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as srcImgs images.</dd>
|
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<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
|
|
Should be odd. Recommended value 7 pixels</dd>
|
|
<dd><code>searchWindowSize</code> - Size in pixels of the window that is used to compute weighted average for
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Parameter regulating filter strength for luminance component. Bigger h value perfectly
|
|
removes noise but also removes image details, smaller h value preserves details but also preserves
|
|
some noise.</dd>
|
|
<dd><code>hColor</code> - The same as h but for color components.
|
|
|
|
The function converts images to CIELAB colorspace and then separately denoise L and AB components
|
|
with given h parameters using fastNlMeansDenoisingMulti function.</dd>
|
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</dl>
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</li>
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<pre>public static void fastNlMeansDenoisingMulti(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize)</pre>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time. For example video. This version of the function is for grayscale
|
|
images or for manual manipulation with colorspaces. For more details see
|
|
<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394></div>
|
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<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>srcImgs</code> - Input 8-bit 1-channel, 2-channel, 3-channel or
|
|
4-channel images sequence. All images should have the same type and
|
|
size.</dd>
|
|
<dd><code>imgToDenoiseIndex</code> - Target image to denoise index in srcImgs sequence</dd>
|
|
<dd><code>temporalWindowSize</code> - Number of surrounding images to use for target image denoising. Should
|
|
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
|
|
imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise
|
|
srcImgs[imgToDenoiseIndex] image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as srcImgs images.
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels
|
|
perfectly removes noise but also removes image details, smaller h
|
|
value preserves details but also preserves some noise</dd>
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</dl>
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</li>
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</ul>
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<h4>fastNlMeansDenoisingMulti</h4>
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<pre>public static void fastNlMeansDenoisingMulti(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
float h)</pre>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time. For example video. This version of the function is for grayscale
|
|
images or for manual manipulation with colorspaces. For more details see
|
|
<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394></div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
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<dd><code>srcImgs</code> - Input 8-bit 1-channel, 2-channel, 3-channel or
|
|
4-channel images sequence. All images should have the same type and
|
|
size.</dd>
|
|
<dd><code>imgToDenoiseIndex</code> - Target image to denoise index in srcImgs sequence</dd>
|
|
<dd><code>temporalWindowSize</code> - Number of surrounding images to use for target image denoising. Should
|
|
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
|
|
imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise
|
|
srcImgs[imgToDenoiseIndex] image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as srcImgs images.
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Parameter regulating filter strength. Bigger h value
|
|
perfectly removes noise but also removes image details, smaller h
|
|
value preserves details but also preserves some noise</dd>
|
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</dl>
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</li>
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</ul>
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<h4>fastNlMeansDenoisingMulti</h4>
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<pre>public static void fastNlMeansDenoisingMulti(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
float h,
|
|
int templateWindowSize)</pre>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time. For example video. This version of the function is for grayscale
|
|
images or for manual manipulation with colorspaces. For more details see
|
|
<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394></div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>srcImgs</code> - Input 8-bit 1-channel, 2-channel, 3-channel or
|
|
4-channel images sequence. All images should have the same type and
|
|
size.</dd>
|
|
<dd><code>imgToDenoiseIndex</code> - Target image to denoise index in srcImgs sequence</dd>
|
|
<dd><code>temporalWindowSize</code> - Number of surrounding images to use for target image denoising. Should
|
|
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
|
|
imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise
|
|
srcImgs[imgToDenoiseIndex] image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as srcImgs images.</dd>
|
|
<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Parameter regulating filter strength. Bigger h value
|
|
perfectly removes noise but also removes image details, smaller h
|
|
value preserves details but also preserves some noise</dd>
|
|
</dl>
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</li>
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</ul>
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<h4>fastNlMeansDenoisingMulti</h4>
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<pre>public static void fastNlMeansDenoisingMulti(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
float h,
|
|
int templateWindowSize,
|
|
int searchWindowSize)</pre>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time. For example video. This version of the function is for grayscale
|
|
images or for manual manipulation with colorspaces. For more details see
|
|
<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394></div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>srcImgs</code> - Input 8-bit 1-channel, 2-channel, 3-channel or
|
|
4-channel images sequence. All images should have the same type and
|
|
size.</dd>
|
|
<dd><code>imgToDenoiseIndex</code> - Target image to denoise index in srcImgs sequence</dd>
|
|
<dd><code>temporalWindowSize</code> - Number of surrounding images to use for target image denoising. Should
|
|
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
|
|
imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise
|
|
srcImgs[imgToDenoiseIndex] image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as srcImgs images.</dd>
|
|
<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
|
|
Should be odd. Recommended value 7 pixels</dd>
|
|
<dd><code>searchWindowSize</code> - Size in pixels of the window that is used to compute weighted average for
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Parameter regulating filter strength. Bigger h value
|
|
perfectly removes noise but also removes image details, smaller h
|
|
value preserves details but also preserves some noise</dd>
|
|
</dl>
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</li>
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</ul>
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<pre>public static void fastNlMeansDenoisingMulti(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h)</pre>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time. For example video. This version of the function is for grayscale
|
|
images or for manual manipulation with colorspaces. For more details see
|
|
<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394></div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>srcImgs</code> - Input 8-bit or 16-bit (only with NORM_L1) 1-channel,
|
|
2-channel, 3-channel or 4-channel images sequence. All images should
|
|
have the same type and size.</dd>
|
|
<dd><code>imgToDenoiseIndex</code> - Target image to denoise index in srcImgs sequence</dd>
|
|
<dd><code>temporalWindowSize</code> - Number of surrounding images to use for target image denoising. Should
|
|
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
|
|
imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise
|
|
srcImgs[imgToDenoiseIndex] image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as srcImgs images.
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Array of parameters regulating filter strength, either one
|
|
parameter applied to all channels or one per channel in dst. Big h value
|
|
perfectly removes noise but also removes image details, smaller h
|
|
value preserves details but also preserves some noise</dd>
|
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</dl>
|
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</li>
|
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</ul>
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<a name="fastNlMeansDenoisingMulti-java.util.List-org.opencv.core.Mat-int-int-org.opencv.core.MatOfFloat-int-">
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<pre>public static void fastNlMeansDenoisingMulti(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h,
|
|
int templateWindowSize)</pre>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time. For example video. This version of the function is for grayscale
|
|
images or for manual manipulation with colorspaces. For more details see
|
|
<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394></div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>srcImgs</code> - Input 8-bit or 16-bit (only with NORM_L1) 1-channel,
|
|
2-channel, 3-channel or 4-channel images sequence. All images should
|
|
have the same type and size.</dd>
|
|
<dd><code>imgToDenoiseIndex</code> - Target image to denoise index in srcImgs sequence</dd>
|
|
<dd><code>temporalWindowSize</code> - Number of surrounding images to use for target image denoising. Should
|
|
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
|
|
imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise
|
|
srcImgs[imgToDenoiseIndex] image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as srcImgs images.</dd>
|
|
<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
|
|
Should be odd. Recommended value 7 pixels
|
|
given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
|
|
denoising time. Recommended value 21 pixels</dd>
|
|
<dd><code>h</code> - Array of parameters regulating filter strength, either one
|
|
parameter applied to all channels or one per channel in dst. Big h value
|
|
perfectly removes noise but also removes image details, smaller h
|
|
value preserves details but also preserves some noise</dd>
|
|
</dl>
|
|
</li>
|
|
</ul>
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<h4>fastNlMeansDenoisingMulti</h4>
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<pre>public static void fastNlMeansDenoisingMulti(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
|
|
<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
|
int imgToDenoiseIndex,
|
|
int temporalWindowSize,
|
|
<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h,
|
|
int templateWindowSize,
|
|
int searchWindowSize)</pre>
|
|
<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
|
|
captured in small period of time. For example video. This version of the function is for grayscale
|
|
images or for manual manipulation with colorspaces. For more details see
|
|
<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394></div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>srcImgs</code> - Input 8-bit or 16-bit (only with NORM_L1) 1-channel,
|
|
2-channel, 3-channel or 4-channel images sequence. All images should
|
|
have the same type and size.</dd>
|
|
<dd><code>imgToDenoiseIndex</code> - Target image to denoise index in srcImgs sequence</dd>
|
|
<dd><code>temporalWindowSize</code> - Number of surrounding images to use for target image denoising. Should
|
|
be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
|
|
imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise
|
|
srcImgs[imgToDenoiseIndex] image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as srcImgs images.</dd>
|
|
<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
|
|
Should be odd. Recommended value 7 pixels</dd>
|
|
<dd><code>searchWindowSize</code> - Size in pixels of the window that is used to compute weighted average for
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given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
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denoising time. Recommended value 21 pixels</dd>
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<dd><code>h</code> - Array of parameters regulating filter strength, either one
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parameter applied to all channels or one per channel in dst. Big h value
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perfectly removes noise but also removes image details, smaller h
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value preserves details but also preserves some noise</dd>
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<pre>public static void fastNlMeansDenoisingMulti(java.util.List<<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>> srcImgs,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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int imgToDenoiseIndex,
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int temporalWindowSize,
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<a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a> h,
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int templateWindowSize,
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int searchWindowSize,
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int normType)</pre>
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<div class="block">Modification of fastNlMeansDenoising function for images sequence where consecutive images have been
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captured in small period of time. For example video. This version of the function is for grayscale
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images or for manual manipulation with colorspaces. For more details see
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<http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394></div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>srcImgs</code> - Input 8-bit or 16-bit (only with NORM_L1) 1-channel,
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2-channel, 3-channel or 4-channel images sequence. All images should
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have the same type and size.</dd>
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<dd><code>imgToDenoiseIndex</code> - Target image to denoise index in srcImgs sequence</dd>
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<dd><code>temporalWindowSize</code> - Number of surrounding images to use for target image denoising. Should
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be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to
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imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise
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srcImgs[imgToDenoiseIndex] image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as srcImgs images.</dd>
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<dd><code>templateWindowSize</code> - Size in pixels of the template patch that is used to compute weights.
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Should be odd. Recommended value 7 pixels</dd>
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<dd><code>searchWindowSize</code> - Size in pixels of the window that is used to compute weighted average for
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given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater
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denoising time. Recommended value 21 pixels</dd>
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<dd><code>h</code> - Array of parameters regulating filter strength, either one
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parameter applied to all channels or one per channel in dst. Big h value
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perfectly removes noise but also removes image details, smaller h
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value preserves details but also preserves some noise</dd>
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<dd><code>normType</code> - Type of norm used for weight calculation. Can be either NORM_L2 or NORM_L1</dd>
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<pre>public static void illuminationChange(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
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<div class="block">Applying an appropriate non-linear transformation to the gradient field inside the selection and
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then integrating back with a Poisson solver, modifies locally the apparent illumination of an image.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>mask</code> - Input 8-bit 1 or 3-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src.
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This is useful to highlight under-exposed foreground objects or to reduce specular reflections.</dd>
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<h4>illuminationChange</h4>
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<pre>public static void illuminationChange(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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float alpha)</pre>
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<div class="block">Applying an appropriate non-linear transformation to the gradient field inside the selection and
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then integrating back with a Poisson solver, modifies locally the apparent illumination of an image.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>mask</code> - Input 8-bit 1 or 3-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src.</dd>
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<dd><code>alpha</code> - Value ranges between 0-2.
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This is useful to highlight under-exposed foreground objects or to reduce specular reflections.</dd>
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<h4>illuminationChange</h4>
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<pre>public static void illuminationChange(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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float alpha,
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float beta)</pre>
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<div class="block">Applying an appropriate non-linear transformation to the gradient field inside the selection and
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then integrating back with a Poisson solver, modifies locally the apparent illumination of an image.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>mask</code> - Input 8-bit 1 or 3-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src.</dd>
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<dd><code>alpha</code> - Value ranges between 0-2.</dd>
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<dd><code>beta</code> - Value ranges between 0-2.
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This is useful to highlight under-exposed foreground objects or to reduce specular reflections.</dd>
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<pre>public static void inpaint(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> inpaintMask,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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double inpaintRadius,
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int flags)</pre>
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<div class="block">Restores the selected region in an image using the region neighborhood.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit, 16-bit unsigned or 32-bit float 1-channel or 8-bit 3-channel image.</dd>
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<dd><code>inpaintMask</code> - Inpainting mask, 8-bit 1-channel image. Non-zero pixels indicate the area that
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needs to be inpainted.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src .</dd>
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<dd><code>inpaintRadius</code> - Radius of a circular neighborhood of each point inpainted that is considered
|
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by the algorithm.</dd>
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<dd><code>flags</code> - Inpainting method that could be cv::INPAINT_NS or cv::INPAINT_TELEA
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|
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The function reconstructs the selected image area from the pixel near the area boundary. The
|
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function may be used to remove dust and scratches from a scanned photo, or to remove undesirable
|
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objects from still images or video. See <http://en.wikipedia.org/wiki/Inpainting> for more details.
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|
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<b>Note:</b>
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<ul>
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<li>
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An example using the inpainting technique can be found at
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|
opencv_source_code/samples/cpp/inpaint.cpp
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</li>
|
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<li>
|
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(Python) An example using the inpainting technique can be found at
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opencv_source_code/samples/python/inpaint.py
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</li>
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</ul></dd>
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</dl>
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<h4>pencilSketch</h4>
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<pre>public static void pencilSketch(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst1,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst2)</pre>
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<div class="block">Pencil-like non-photorealistic line drawing</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>dst1</code> - Output 8-bit 1-channel image.</dd>
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<dd><code>dst2</code> - Output image with the same size and type as src.</dd>
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<h4>pencilSketch</h4>
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<pre>public static void pencilSketch(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst1,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst2,
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float sigma_s)</pre>
|
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<div class="block">Pencil-like non-photorealistic line drawing</div>
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
|
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<dd><code>dst1</code> - Output 8-bit 1-channel image.</dd>
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<dd><code>dst2</code> - Output image with the same size and type as src.</dd>
|
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<dd><code>sigma_s</code> - %Range between 0 to 200.</dd>
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</dl>
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<h4>pencilSketch</h4>
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<pre>public static void pencilSketch(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst1,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst2,
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float sigma_s,
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float sigma_r)</pre>
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<div class="block">Pencil-like non-photorealistic line drawing</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>dst1</code> - Output 8-bit 1-channel image.</dd>
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<dd><code>dst2</code> - Output image with the same size and type as src.</dd>
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<dd><code>sigma_s</code> - %Range between 0 to 200.</dd>
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<dd><code>sigma_r</code> - %Range between 0 to 1.</dd>
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</dl>
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</li>
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</ul>
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<h4>pencilSketch</h4>
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<pre>public static void pencilSketch(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst1,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst2,
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float sigma_s,
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float sigma_r,
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float shade_factor)</pre>
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<div class="block">Pencil-like non-photorealistic line drawing</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>dst1</code> - Output 8-bit 1-channel image.</dd>
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<dd><code>dst2</code> - Output image with the same size and type as src.</dd>
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<dd><code>sigma_s</code> - %Range between 0 to 200.</dd>
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<dd><code>sigma_r</code> - %Range between 0 to 1.</dd>
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<dd><code>shade_factor</code> - %Range between 0 to 0.1.</dd>
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<pre>public static void seamlessClone(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
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<a href="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</a> p,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> blend,
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int flags)</pre>
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<div class="block">Image editing tasks concern either global changes (color/intensity corrections, filters,
|
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deformations) or local changes concerned to a selection. Here we are interested in achieving local
|
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changes, ones that are restricted to a region manually selected (ROI), in a seamless and effortless
|
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manner. The extent of the changes ranges from slight distortions to complete replacement by novel
|
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content CITE: PM03 .</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>dst</code> - Input 8-bit 3-channel image.</dd>
|
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<dd><code>mask</code> - Input 8-bit 1 or 3-channel image.</dd>
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<dd><code>p</code> - Point in dst image where object is placed.</dd>
|
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<dd><code>blend</code> - Output image with the same size and type as dst.</dd>
|
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<dd><code>flags</code> - Cloning method that could be cv::NORMAL_CLONE, cv::MIXED_CLONE or cv::MONOCHROME_TRANSFER</dd>
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<h4>stylization</h4>
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<pre>public static void stylization(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
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<div class="block">Stylization aims to produce digital imagery with a wide variety of effects not focused on
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photorealism. Edge-aware filters are ideal for stylization, as they can abstract regions of low
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contrast while preserving, or enhancing, high-contrast features.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src.</dd>
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<pre>public static void stylization(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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float sigma_s)</pre>
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<div class="block">Stylization aims to produce digital imagery with a wide variety of effects not focused on
|
|
photorealism. Edge-aware filters are ideal for stylization, as they can abstract regions of low
|
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contrast while preserving, or enhancing, high-contrast features.</div>
|
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
|
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
|
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<dd><code>dst</code> - Output image with the same size and type as src.</dd>
|
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<dd><code>sigma_s</code> - %Range between 0 to 200.</dd>
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<pre>public static void stylization(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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float sigma_s,
|
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float sigma_r)</pre>
|
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<div class="block">Stylization aims to produce digital imagery with a wide variety of effects not focused on
|
|
photorealism. Edge-aware filters are ideal for stylization, as they can abstract regions of low
|
|
contrast while preserving, or enhancing, high-contrast features.</div>
|
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<dl>
|
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<dt><span class="paramLabel">Parameters:</span></dt>
|
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
|
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<dd><code>dst</code> - Output image with the same size and type as src.</dd>
|
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<dd><code>sigma_s</code> - %Range between 0 to 200.</dd>
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<dd><code>sigma_r</code> - %Range between 0 to 1.</dd>
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<pre>public static void textureFlattening(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst)</pre>
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<div class="block">By retaining only the gradients at edge locations, before integrating with the Poisson solver, one
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washes out the texture of the selected region, giving its contents a flat aspect. Here Canny Edge %Detector is used.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>mask</code> - Input 8-bit 1 or 3-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src.
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<b>Note:</b>
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The algorithm assumes that the color of the source image is close to that of the destination. This
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assumption means that when the colors don't match, the source image color gets tinted toward the
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color of the destination image.</dd>
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</dl>
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</ul>
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<a name="textureFlattening-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-">
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<h4>textureFlattening</h4>
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<pre>public static void textureFlattening(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
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float low_threshold)</pre>
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<div class="block">By retaining only the gradients at edge locations, before integrating with the Poisson solver, one
|
|
washes out the texture of the selected region, giving its contents a flat aspect. Here Canny Edge %Detector is used.</div>
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<dl>
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<dt><span class="paramLabel">Parameters:</span></dt>
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<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>mask</code> - Input 8-bit 1 or 3-channel image.</dd>
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<dd><code>dst</code> - Output image with the same size and type as src.</dd>
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<dd><code>low_threshold</code> - %Range from 0 to 100.
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<b>Note:</b>
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The algorithm assumes that the color of the source image is close to that of the destination. This
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assumption means that when the colors don't match, the source image color gets tinted toward the
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color of the destination image.</dd>
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</dl>
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</li>
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</ul>
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<a name="textureFlattening-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-float-">
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<ul class="blockList">
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<h4>textureFlattening</h4>
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<pre>public static void textureFlattening(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
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float low_threshold,
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float high_threshold)</pre>
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<div class="block">By retaining only the gradients at edge locations, before integrating with the Poisson solver, one
|
|
washes out the texture of the selected region, giving its contents a flat aspect. Here Canny Edge %Detector is used.</div>
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<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
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<dd><code>mask</code> - Input 8-bit 1 or 3-channel image.</dd>
|
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<dd><code>dst</code> - Output image with the same size and type as src.</dd>
|
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<dd><code>low_threshold</code> - %Range from 0 to 100.</dd>
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<dd><code>high_threshold</code> - Value > 100.
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|
|
|
<b>Note:</b>
|
|
The algorithm assumes that the color of the source image is close to that of the destination. This
|
|
assumption means that when the colors don't match, the source image color gets tinted toward the
|
|
color of the destination image.</dd>
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</dl>
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</li>
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</ul>
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<a name="textureFlattening-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.core.Mat-float-float-int-">
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<ul class="blockListLast">
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<h4>textureFlattening</h4>
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<pre>public static void textureFlattening(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> src,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> mask,
|
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<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a> dst,
|
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float low_threshold,
|
|
float high_threshold,
|
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int kernel_size)</pre>
|
|
<div class="block">By retaining only the gradients at edge locations, before integrating with the Poisson solver, one
|
|
washes out the texture of the selected region, giving its contents a flat aspect. Here Canny Edge %Detector is used.</div>
|
|
<dl>
|
|
<dt><span class="paramLabel">Parameters:</span></dt>
|
|
<dd><code>src</code> - Input 8-bit 3-channel image.</dd>
|
|
<dd><code>mask</code> - Input 8-bit 1 or 3-channel image.</dd>
|
|
<dd><code>dst</code> - Output image with the same size and type as src.</dd>
|
|
<dd><code>low_threshold</code> - %Range from 0 to 100.</dd>
|
|
<dd><code>high_threshold</code> - Value > 100.</dd>
|
|
<dd><code>kernel_size</code> - The size of the Sobel kernel to be used.
|
|
|
|
<b>Note:</b>
|
|
The algorithm assumes that the color of the source image is close to that of the destination. This
|
|
assumption means that when the colors don't match, the source image color gets tinted toward the
|
|
color of the destination image.</dd>
|
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</dl>
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</li>
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</ul>
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</li>
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</ul>
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<p class="legalCopy"><small>Generated on 2021-12-25 08:13:27 / OpenCV 4.5.5</small></p>
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