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#include "test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"

#ifdef HAVE_OPENCL

namespace cvtest {
namespace ocl {

PARAM_TEST_CASE(FastNlMeansDenoisingTestBase, Channels, bool)
{
    int cn, templateWindowSize, searchWindowSize;
    float h;
    bool use_roi;

    TEST_DECLARE_INPUT_PARAMETER(src)
    TEST_DECLARE_OUTPUT_PARAMETER(dst)

    virtual void SetUp()
    {
        cn = GET_PARAM(0);
        use_roi = GET_PARAM(1);

        templateWindowSize = 7;
        searchWindowSize = 21;
        h = 3.0f;
    }

    virtual void generateTestData()
    {
        const int type = CV_8UC(cn);

        Size roiSize = randomSize(1, MAX_VALUE);
        Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
        randomSubMat(src, src_roi, roiSize, srcBorder, type, 0, 255);

        Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
        randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 0, 255);

        UMAT_UPLOAD_INPUT_PARAMETER(src)
        UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
    }
};

typedef FastNlMeansDenoisingTestBase FastNlMeansDenoising;

OCL_TEST_P(FastNlMeansDenoising, Mat)
{
    for (int j = 0; j < test_loop_times; j++)
    {
        generateTestData();

        OCL_OFF(cv::fastNlMeansDenoising(src_roi, dst_roi, h, templateWindowSize, searchWindowSize));
        OCL_ON(cv::fastNlMeansDenoising(usrc_roi, udst_roi, h, templateWindowSize, searchWindowSize));

        OCL_EXPECT_MATS_NEAR(dst, 1)
    }
}

OCL_INSTANTIATE_TEST_CASE_P(Photo, FastNlMeansDenoising, Combine(Values(1, 2), Bool()));

} } // namespace cvtest::ocl

#endif // HAVE_OPENCL