vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

modules/xphoto/samples/dct_image_denoising.cpp

@@ -0,0 +1,69 @@
+#include "opencv2/xphoto.hpp"
+
+#include "opencv2/imgproc.hpp"
+#include "opencv2/highgui.hpp"
+
+#include "opencv2/core/utility.hpp"
+
+const char* keys =
+{
+    "{i || input image name}"
+    "{o || output image name}"
+    "{sigma || expected noise standard deviation}"
+    "{psize |16| expected noise standard deviation}"
+};
+
+int main( int argc, const char** argv )
+{
+    bool printHelp = ( argc == 1 );
+    printHelp = printHelp || ( argc == 2 && std::string(argv[1]) == "--help" );
+    printHelp = printHelp || ( argc == 2 && std::string(argv[1]) == "-h" );
+
+    if ( printHelp )
+    {
+        printf("\nThis sample demonstrates dct-based image denoising\n"
+            "Call:\n"
+            "    dct_image_denoising -i=<string> -sigma=<double> -psize=<int> [-o=<string>]\n\n");
+        return 0;
+    }
+
+    cv::CommandLineParser parser(argc, argv, keys);
+    if ( !parser.check() )
+    {
+        parser.printErrors();
+        return -1;
+    }
+
+    std::string inFilename = parser.get<std::string>("i");
+    std::string outFilename = parser.get<std::string>("o");
+
+    cv::Mat src = cv::imread(inFilename, 1);
+    if ( src.empty() )
+    {
+        printf("Cannot read image file: %s\n", inFilename.c_str());
+        return -1;
+    }
+
+	double sigma = parser.get<double>("sigma");
+	if (sigma == 0.0)
+		sigma = 15.0;
+
+    int psize = parser.get<int>("psize");
+    if (psize == 0)
+        psize = 16;
+
+    cv::Mat res(src.size(), src.type());
+    cv::xphoto::dctDenoising(src, res, sigma, psize);
+
+    if ( outFilename == "" )
+    {
+        cv::namedWindow("denoising result", 1);
+        cv::imshow("denoising result", res);
+
+        cv::waitKey(0);
+    }
+    else
+        cv::imwrite(outFilename, res);
+
+    return 0;
+}