text: /*M///////////////////////////////////////////////////////////////////////////////////////
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  //                           License Agreement
  //                For Open Source Computer Vision Library
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  #include "test_precomp.hpp"
  #include "opencv2/highgui.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<n;i++){
          int x=rng(img.cols-r),y=rng(img.rows-r);
          if(rng(2)==0){
              img(cv::Range(y,y+r),cv::Range(x,x+r))=(uchar)0;
          }else{
              img(cv::Range(y,y+r),cv::Range(x,x+r))=(uchar)255;
          }
      }
  }
  
  bool validate_pixel(const cv::Mat& image,int x,int y,uchar val){
      printf("test: image(%d,%d)=%d vs %d - %s\n",x,y,(int)image.at<uchar>(x,y),val,(val==image.at<uchar>(x,y))?"true":"false");
      return (image.at<uchar>(x,y)==val);
  }
  
  TEST(Optim_denoise_tvl1, regression_basic){
      cv::RNG rng(42);
      cv::Mat img = cv::imread("lena.jpg", 0), noisy,res;
      if(img.rows!=512 || img.cols!=512){
          printf("\tplease, put lena.jpg from samples/c in the current folder\n");
          printf("\tnow, the test will fail...\n");
          ASSERT_TRUE(false);
      }
  
      const int obs_num=5;
      std::vector<cv::Mat> 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::optim::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
  
  }
  