opencv/modules/gpu/test/test_denoising.cpp

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#include "test_precomp.hpp"
#ifdef HAVE_CUDA
using namespace cvtest;
////////////////////////////////////////////////////////
// BilateralFilter
PARAM_TEST_CASE(BilateralFilter, cv::gpu::DeviceInfo, cv::Size, MatType)
{
cv::gpu::DeviceInfo devInfo;
cv::Size size;
int type;
int kernel_size;
float sigma_color;
float sigma_spatial;
virtual void SetUp()
{
devInfo = GET_PARAM(0);
size = GET_PARAM(1);
type = GET_PARAM(2);
kernel_size = 5;
sigma_color = 10.f;
sigma_spatial = 3.5f;
cv::gpu::setDevice(devInfo.deviceID());
}
};
GPU_TEST_P(BilateralFilter, Accuracy)
{
cv::Mat src = randomMat(size, type);
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src.convertTo(src, type);
cv::gpu::GpuMat dst;
cv::gpu::bilateralFilter(loadMat(src), dst, kernel_size, sigma_color, sigma_spatial);
cv::Mat dst_gold;
cv::bilateralFilter(src, dst_gold, kernel_size, sigma_color, sigma_spatial);
EXPECT_MAT_NEAR(dst_gold, dst, src.depth() == CV_32F ? 1e-3 : 1.0);
}
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INSTANTIATE_TEST_CASE_P(GPU_Denoising, BilateralFilter, testing::Combine(
ALL_DEVICES,
testing::Values(cv::Size(128, 128), cv::Size(113, 113), cv::Size(639, 481)),
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_32FC1), MatType(CV_32FC3))
));
////////////////////////////////////////////////////////
// Brute Force Non local means
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struct BruteForceNonLocalMeans: testing::TestWithParam<cv::gpu::DeviceInfo>
{
cv::gpu::DeviceInfo devInfo;
virtual void SetUp()
{
devInfo = GetParam();
cv::gpu::setDevice(devInfo.deviceID());
}
};
GPU_TEST_P(BruteForceNonLocalMeans, Regression)
{
using cv::gpu::GpuMat;
cv::Mat bgr = readImage("denoising/lena_noised_gaussian_sigma=20_multi_0.png", cv::IMREAD_COLOR);
ASSERT_FALSE(bgr.empty());
cv::resize(bgr, bgr, cv::Size(256, 256));
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cv::Mat gray;
cv::cvtColor(bgr, gray, CV_BGR2GRAY);
GpuMat dbgr, dgray;
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cv::gpu::nonLocalMeans(GpuMat(bgr), dbgr, 20);
cv::gpu::nonLocalMeans(GpuMat(gray), dgray, 20);
#if 0
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dumpImage("denoising/nlm_denoised_lena_bgr.png", cv::Mat(dbgr));
dumpImage("denoising/nlm_denoised_lena_gray.png", cv::Mat(dgray));
#endif
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cv::Mat bgr_gold = readImage("denoising/nlm_denoised_lena_bgr.png", cv::IMREAD_COLOR);
cv::Mat gray_gold = readImage("denoising/nlm_denoised_lena_gray.png", cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(bgr_gold.empty() || gray_gold.empty());
cv::resize(bgr_gold, bgr_gold, cv::Size(256, 256));
cv::resize(gray_gold, gray_gold, cv::Size(256, 256));
EXPECT_MAT_NEAR(bgr_gold, dbgr, 1e-4);
EXPECT_MAT_NEAR(gray_gold, dgray, 1e-4);
}
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INSTANTIATE_TEST_CASE_P(GPU_Denoising, BruteForceNonLocalMeans, ALL_DEVICES);
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////////////////////////////////////////////////////////
// Fast Force Non local means
struct FastNonLocalMeans: testing::TestWithParam<cv::gpu::DeviceInfo>
{
cv::gpu::DeviceInfo devInfo;
virtual void SetUp()
{
devInfo = GetParam();
cv::gpu::setDevice(devInfo.deviceID());
}
};
GPU_TEST_P(FastNonLocalMeans, Regression)
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{
using cv::gpu::GpuMat;
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cv::Mat bgr = readImage("denoising/lena_noised_gaussian_sigma=20_multi_0.png", cv::IMREAD_COLOR);
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ASSERT_FALSE(bgr.empty());
cv::Mat gray;
cv::cvtColor(bgr, gray, CV_BGR2GRAY);
GpuMat dbgr, dgray;
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cv::gpu::FastNonLocalMeansDenoising fnlmd;
fnlmd.simpleMethod(GpuMat(gray), dgray, 20);
fnlmd.labMethod(GpuMat(bgr), dbgr, 20, 10);
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#if 0
dumpImage("denoising/fnlm_denoised_lena_bgr.png", cv::Mat(dbgr));
dumpImage("denoising/fnlm_denoised_lena_gray.png", cv::Mat(dgray));
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#endif
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cv::Mat bgr_gold = readImage("denoising/fnlm_denoised_lena_bgr.png", cv::IMREAD_COLOR);
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cv::Mat gray_gold = readImage("denoising/fnlm_denoised_lena_gray.png", cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(bgr_gold.empty() || gray_gold.empty());
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EXPECT_MAT_NEAR(bgr_gold, dbgr, 1);
EXPECT_MAT_NEAR(gray_gold, dgray, 1);
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}
INSTANTIATE_TEST_CASE_P(GPU_Denoising, FastNonLocalMeans, ALL_DEVICES);
#endif // HAVE_CUDA