OpenCV_4.2.0/opencv_contrib-4.2.0/modules/xphoto/test/dct_image_denoising.cpp

43 lines
1.4 KiB
C++

// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "test_precomp.hpp"
namespace opencv_test { namespace {
TEST(xphoto_dctimagedenoising, regression)
{
cv::String subfolder = "cv/xphoto/";
cv::String dir = cvtest::TS::ptr()->get_data_path() + subfolder + "dct_image_denoising/";
int nTests = 1;
double thresholds[] = {0.2};
int psize[] = {8};
double sigma[] = {9.0};
for (int i = 0; i < nTests; ++i)
{
cv::String srcName = dir + cv::format( "sources/%02d.png", i + 1);
cv::Mat src = cv::imread( srcName, 1 );
ASSERT_TRUE(!src.empty());
cv::String previousResultName = dir + cv::format( "results/%02d.png", i + 1 );
cv::Mat previousResult = cv::imread( previousResultName, 1 );
ASSERT_TRUE(!src.empty());
cv::Mat currentResult;
cv::xphoto::dctDenoising(src, currentResult, sigma[i], psize[i]);
cv::Mat sqrError = ( currentResult - previousResult )
.mul( currentResult - previousResult );
cv::Scalar mse = cv::sum(sqrError) / cv::Scalar::all( double(sqrError.total()*sqrError.channels()) );
EXPECT_LE( mse[0] + mse[1] + mse[2] + mse[3], thresholds[i] );
}
}
}} // namespace