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Minimal image size is set to 5*5 for OCL path of fastNlMeansDenoising and fastNlMeansDenoisingColored since it breaks tests with test_loop_times=30 and in general doesn't make sense for computation on GPU.

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This commit is contained in:
Alexander Karsakov 2014-08-14 12:14:33 +04:00
parent a602185fb6
commit 75ede6e17c
1 changed files with 11 additions and 8 deletions
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19
modules/photo/src/denoising.cpp
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@ -48,11 +48,13 @@
void cv::fastNlMeansDenoising( InputArray _src, OutputArray _dst, float h,
int templateWindowSize, int searchWindowSize)
{
CV_OCL_RUN(_src.dims() <= 2 && (_src.isUMat() || _dst.isUMat()),
Size src_size = _src.size();
CV_OCL_RUN(_src.dims() <= 2 && (_src.isUMat() || _dst.isUMat()) &&
src_size.width > 5 && src_size.height > 5, // low accuracy on small sizes
ocl_fastNlMeansDenoising(_src, _dst, h, templateWindowSize, searchWindowSize))
Mat src = _src.getMat();
_dst.create(src.size(), src.type());
_dst.create(src_size, src.type());
Mat dst = _dst.getMat();
#ifdef HAVE_TEGRA_OPTIMIZATION
@ -87,26 +89,27 @@ void cv::fastNlMeansDenoisingColored( InputArray _src, OutputArray _dst,
int templateWindowSize, int searchWindowSize)
{
int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
Size src_size = _src.size();
if (type != CV_8UC3 && type != CV_8UC4)
{
CV_Error(Error::StsBadArg, "Type of input image should be CV_8UC3!");
return;
}
CV_OCL_RUN(_src.dims() <= 2 && (_dst.isUMat() || _src.isUMat()),
CV_OCL_RUN(_src.dims() <= 2 && (_dst.isUMat() || _src.isUMat()) &&
src_size.width > 5 && src_size.height > 5, // low accuracy on small sizes
ocl_fastNlMeansDenoisingColored(_src, _dst, h, hForColorComponents,
templateWindowSize, searchWindowSize))
Mat src = _src.getMat();
_dst.create(src.size(), type);
_dst.create(src_size, type);
Mat dst = _dst.getMat();
Mat src_lab;
cvtColor(src, src_lab, COLOR_LBGR2Lab);
Mat l(src.size(), CV_8U);
Mat ab(src.size(), CV_8UC2);
Mat l(src_size, CV_8U);
Mat ab(src_size, CV_8UC2);
Mat l_ab[] = { l, ab };
int from_to[] = { 0,0, 1,1, 2,2 };
mixChannels(&src_lab, 1, l_ab, 2, from_to, 3);
@ -115,7 +118,7 @@ void cv::fastNlMeansDenoisingColored( InputArray _src, OutputArray _dst,
fastNlMeansDenoising(ab, ab, hForColorComponents, templateWindowSize, searchWindowSize);
Mat l_ab_denoised[] = { l, ab };
Mat dst_lab(src.size(), CV_MAKE_TYPE(depth, 3));
Mat dst_lab(src_size, CV_MAKE_TYPE(depth, 3));
mixChannels(l_ab_denoised, 2, &dst_lab, 1, from_to, 3);
cvtColor(dst_lab, dst, COLOR_Lab2LBGR, cn);