/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the OpenCV Foundation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "test_precomp.hpp" void make_noisy(const cv::Mat& img, cv::Mat& noisy, double sigma, double pepper_salt_ratio,cv::RNG& rng) { noisy.create(img.size(), img.type()); cv::Mat noise(img.size(), img.type()), mask(img.size(), CV_8U); rng.fill(noise,cv::RNG::NORMAL,128.0,sigma); cv::addWeighted(img, 1, noise, 1, -128, noisy); cv::randn(noise, cv::Scalar::all(0), cv::Scalar::all(2)); noise *= 255; cv::randu(mask, 0, cvRound(1./pepper_salt_ratio)); cv::Mat half = mask.colRange(0, img.cols/2); half = cv::Scalar::all(1); noise.setTo(128, mask); cv::addWeighted(noisy, 1, noise, 1, -128, noisy); } void make_spotty(cv::Mat& img,cv::RNG& rng, int r=3,int n=1000) { for(int i=0;i(x,y) - val) < 10; printf("test: image(%d,%d)=%d vs %d - %s\n",x,y,(int)image.at(x,y),val,ok?"ok":"bad"); return ok; } TEST(Optim_denoise_tvl1, regression_basic) { cv::RNG rng(42); cv::Mat img = cv::imread(cvtest::TS::ptr()->get_data_path() + "shared/lena.png", 0), noisy, res; ASSERT_FALSE(img.empty()) << "Error: can't open 'lena.png'"; const int obs_num=5; std::vector images(obs_num, cv::Mat()); for(int i=0;i<(int)images.size();i++) { make_noisy(img,images[i], 20, 0.02,rng); //make_spotty(images[i],rng); } //cv::imshow("test", images[0]); cv::denoise_TVL1(images, res); //cv::imshow("denoised", res); //cv::waitKey(); #if 0 ASSERT_TRUE(validate_pixel(res,248,334,179)); ASSERT_TRUE(validate_pixel(res,489,333,172)); ASSERT_TRUE(validate_pixel(res,425,507,104)); ASSERT_TRUE(validate_pixel(res,489,486,105)); ASSERT_TRUE(validate_pixel(res,223,208,64)); ASSERT_TRUE(validate_pixel(res,418,3,78)); ASSERT_TRUE(validate_pixel(res,63,76,97)); ASSERT_TRUE(validate_pixel(res,29,134,126)); ASSERT_TRUE(validate_pixel(res,219,291,174)); ASSERT_TRUE(validate_pixel(res,384,124,76)); #endif #if 1 ASSERT_TRUE(validate_pixel(res,248,334,194)); ASSERT_TRUE(validate_pixel(res,489,333,171)); ASSERT_TRUE(validate_pixel(res,425,507,103)); ASSERT_TRUE(validate_pixel(res,489,486,109)); ASSERT_TRUE(validate_pixel(res,223,208,72)); ASSERT_TRUE(validate_pixel(res,418,3,58)); ASSERT_TRUE(validate_pixel(res,63,76,93)); ASSERT_TRUE(validate_pixel(res,29,134,127)); ASSERT_TRUE(validate_pixel(res,219,291,180)); ASSERT_TRUE(validate_pixel(res,384,124,80)); #endif }