OpenCV_4.2.0/opencv_contrib-4.2.0/modules/xphoto/samples/bm3d_image_denoising.cpp

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2024-07-25 16:47:56 +08:00
#include "opencv2/xphoto.hpp"
#include "opencv2/highgui.hpp"
const char* keys =
{
"{i || input image name}"
"{o || output image name}"
"{sigma || expected noise standard deviation}"
"{tw |4| template window size}"
"{sw |16| search window size}"
};
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 BM3D image denoising\n"
"Call:\n"
" bm3d_image_denoising -i=<string> -sigma=<double> -tw=<int> -sw=<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, cv::IMREAD_GRAYSCALE);
if (src.empty())
{
printf("Cannot read image file: %s\n", inFilename.c_str());
return -1;
}
float sigma = parser.get<float>("sigma");
if (sigma == 0.0)
sigma = 15.0;
int templateWindowSize = parser.get<int>("tw");
if (templateWindowSize == 0)
templateWindowSize = 4;
int searchWindowSize = parser.get<int>("sw");
if (searchWindowSize == 0)
searchWindowSize = 16;
cv::Mat res(src.size(), src.type());
cv::xphoto::bm3dDenoising(src, res, sigma, templateWindowSize, searchWindowSize);
if (outFilename.empty())
{
cv::namedWindow("input image", cv::WINDOW_NORMAL);
cv::imshow("input image", src);
cv::namedWindow("denoising result", cv::WINDOW_NORMAL);
cv::imshow("denoising result", res);
cv::waitKey(0);
}
else
{
cv::imwrite(outFilename, res);
}
return 0;
}