add color_boost + doc
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modules/photo/doc/decolor.rst
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20
modules/photo/doc/decolor.rst
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@ -0,0 +1,20 @@
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Decolorization
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==============
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.. highlight:: cpp
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decolor
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-------
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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.
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.. ocv:function:: void decolor( InputArray src, OutputArray grayscale, OutputArray color_boost )
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:param src: Input 8-bit 3-channel image.
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:param grayscale: Output 8-bit 1-channel image.
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:param color_boost: Output 8-bit 3-channel image.
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This function is to be applied on color images.
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@ -288,7 +288,7 @@ public:
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CV_EXPORTS_W Ptr<MergeRobertson> createMergeRobertson();
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CV_EXPORTS_W void decolor(InputArray src, OutputArray grayscale);
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CV_EXPORTS_W void decolor(InputArray src, OutputArray grayscale, OutputArray color_boost);
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} // cv
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@ -17,14 +17,17 @@ int rounding(double a)
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return int(a + 0.5);
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}
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void cv::decolor(InputArray _src, OutputArray _dst)
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void cv::decolor(InputArray _src, OutputArray _dst, OutputArray _boost)
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{
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Mat I = _src.getMat();
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Mat I = _src.getMat();
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_dst.create(I.size(), CV_8UC1);
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Mat dst = _dst.getMat();
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if(!I.data )
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{
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_boost.create(I.size(), CV_8UC3);
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Mat color_boost = _boost.getMat();
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if(!I.data )
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{
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cout << "Could not open or find the image" << endl ;
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return;
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}
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@ -162,5 +165,40 @@ void cv::decolor(InputArray _src, OutputArray _dst)
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Gray.convertTo(dst,CV_8UC1,255);
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/////////////////////////////////// Contrast Boosting /////////////////////////////////
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Mat lab = Mat(img.size(),CV_8UC3);
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Mat color = Mat(img.size(),CV_8UC3);
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Mat l = Mat(img.size(),CV_8UC1);
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Mat a = Mat(img.size(),CV_8UC1);
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Mat b = Mat(img.size(),CV_8UC1);
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cvtColor(I,lab,COLOR_BGR2Lab);
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int h1 = img.size().height;
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int w1 = img.size().width;
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for(int i =0;i<h1;i++)
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for(int j=0;j<w1;j++)
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{
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l.at<uchar>(i,j) = lab.at<uchar>(i,j*3+0);
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a.at<uchar>(i,j) = lab.at<uchar>(i,j*3+1);
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b.at<uchar>(i,j) = lab.at<uchar>(i,j*3+2);
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}
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for(int i =0;i<h1;i++)
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for(int j=0;j<w1;j++)
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{
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l.at<uchar>(i,j) = 255.0*Gray.at<float>(i,j);
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}
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for(int i =0;i<h1;i++)
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for(int j=0;j<w1;j++)
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{
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lab.at<uchar>(i,j*3+0) = l.at<uchar>(i,j);
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lab.at<uchar>(i,j*3+1) = a.at<uchar>(i,j);
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lab.at<uchar>(i,j*3+2) = b.at<uchar>(i,j);
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}
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cvtColor(lab,color_boost,COLOR_Lab2BGR);
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}
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@ -16,19 +16,24 @@ TEST(Photo_Decolor, regression)
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{
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string folder = string(cvtest::TS::ptr()->get_data_path()) + "decolor/";
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string original_path = folder + "color_image_1.png";
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string expected_path = folder + "grayscale_image_1.png";
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string expected_path1 = folder + "grayscale_image_1.png";
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string expected_path2 = folder + "color_boost_image_1.png";
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Mat original = imread(original_path, IMREAD_COLOR);
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Mat expected = imread(expected_path, IMREAD_GRAYSCALE);
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Mat expected1 = imread(expected_path1, IMREAD_GRAYSCALE);
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Mat expected2 = imread(expected_path2, IMREAD_COLOR);
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ASSERT_FALSE(original.empty()) << "Could not load input image " << original_path;
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ASSERT_FALSE(expected.empty()) << "Could not load reference image " << expected_path;
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ASSERT_FALSE(expected1.empty()) << "Could not load reference image " << expected_path1;
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ASSERT_FALSE(expected2.empty()) << "Could not load reference image " << expected_path2;
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Mat result;
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decolor(original, result);
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Mat grayscale, color_boost;
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decolor(original, grayscale, color_boost);
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DUMP(result, expected_path + ".res.png");
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DUMP(grayscale, expected_path1 + ".grayscale.png");
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DUMP(color_boost, expected_path2 + ".color_boost.png");
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ASSERT_EQ(0, norm(result != expected));
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ASSERT_EQ(0, norm(grayscale != expected1));
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ASSERT_EQ(0, norm(color_boost != expected2));
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}
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