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