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Added normType parameter to fastNlMeansDenoisingMulti

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This commit is contained in:
Erik Karlsson
2015-03-24 02:01:31 +01:00
parent 70a64ebe72
commit 01d3df0d00
2 changed files with 107 additions and 52 deletions
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modules/photo/src/denoising.cpp
+96 -45
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@@ -230,6 +230,64 @@ static void fastNlMeansDenoisingMultiCheckPreconditions(
}
}
template<typename ST, typename IT, typename UIT, typename D>
static void fastNlMeansDenoisingMulti_( const std::vector<Mat>& srcImgs, Mat& dst,
int imgToDenoiseIndex, int temporalWindowSize,
const std::vector<float>& h,
int templateWindowSize, int searchWindowSize)
{
int hn = (int)h.size();
switch (srcImgs[0].type())
{
case CV_8U:
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<uchar, IT, UIT, D, int>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
break;
case CV_8UC2:
if (hn == 1)
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<Vec<ST, 2>, IT, UIT, D, int>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
else
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<Vec<ST, 2>, IT, UIT, D, Vec2i>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
break;
case CV_8UC3:
if (hn == 1)
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<Vec<ST, 3>, IT, UIT, D, int>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
else
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<Vec<ST, 3>, IT, UIT, D, Vec3i>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
break;
case CV_8UC4:
if (hn == 1)
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<Vec<ST, 4>, IT, UIT, D, int>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
else
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<Vec<ST, 4>, IT, UIT, D, Vec4i>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
break;
default:
CV_Error(Error::StsBadArg,
"Unsupported image format! Only CV_8U, CV_8UC2, CV_8UC3 and CV_8UC4 are supported");
}
}
void cv::fastNlMeansDenoisingMulti( InputArrayOfArrays _srcImgs, OutputArray _dst,
int imgToDenoiseIndex, int temporalWindowSize,
float h, int templateWindowSize, int searchWindowSize)
@@ -241,7 +299,7 @@ void cv::fastNlMeansDenoisingMulti( InputArrayOfArrays _srcImgs, OutputArray _ds
void cv::fastNlMeansDenoisingMulti( InputArrayOfArrays _srcImgs, OutputArray _dst,
int imgToDenoiseIndex, int temporalWindowSize,
const std::vector<float>& h,
int templateWindowSize, int searchWindowSize)
int templateWindowSize, int searchWindowSize, int normType)
{
std::vector<Mat> srcImgs;
_srcImgs.getMatVector(srcImgs);
@@ -251,58 +309,51 @@ void cv::fastNlMeansDenoisingMulti( InputArrayOfArrays _srcImgs, OutputArray _ds
temporalWindowSize, templateWindowSize, searchWindowSize);
int hn = (int)h.size();
CV_Assert(hn == 1 || hn == CV_MAT_CN(srcImgs[0].type()));
int type = srcImgs[0].type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
CV_Assert(hn == 1 || hn == cn);
_dst.create(srcImgs[0].size(), srcImgs[0].type());
Mat dst = _dst.getMat();
switch (srcImgs[0].type())
{
case CV_8U:
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<uchar, int, unsigned, DistSquared, int>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
switch (normType) {
case NORM_L2:
switch (depth) {
case CV_8U:
fastNlMeansDenoisingMulti_<uchar, int, unsigned,
DistSquared>(srcImgs, dst,
imgToDenoiseIndex, temporalWindowSize,
h,
templateWindowSize, searchWindowSize);
break;
default:
CV_Error(Error::StsBadArg,
"Unsupported depth! Only CV_8U is supported for NORM_L2");
}
break;
case CV_8UC2:
if (hn == 1)
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<Vec2b, int, unsigned, DistSquared, int>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
else
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<Vec2b, int, unsigned, DistSquared, Vec2i>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
break;
case CV_8UC3:
if (hn == 1)
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<Vec3b, int, unsigned, DistSquared, int>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
else
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<Vec3b, int, unsigned, DistSquared, Vec3i>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
break;
case CV_8UC4:
if (hn == 1)
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<Vec4b, int, unsigned, DistSquared, int>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
else
parallel_for_(cv::Range(0, srcImgs[0].rows),
FastNlMeansMultiDenoisingInvoker<Vec4b, int, unsigned, DistSquared, Vec4i>(
srcImgs, imgToDenoiseIndex, temporalWindowSize,
dst, templateWindowSize, searchWindowSize, &h[0]));
case NORM_L1:
switch (depth) {
case CV_8U:
fastNlMeansDenoisingMulti_<uchar, int, unsigned,
DistAbs>(srcImgs, dst,
imgToDenoiseIndex, temporalWindowSize,
h,
templateWindowSize, searchWindowSize);
break;
case CV_16U:
fastNlMeansDenoisingMulti_<ushort, int64, uint64,
DistAbs>(srcImgs, dst,
imgToDenoiseIndex, temporalWindowSize,
h,
templateWindowSize, searchWindowSize);
break;
default:
CV_Error(Error::StsBadArg,
"Unsupported depth! Only CV_8U and CV_16U are supported for NORM_L1");
}
break;
default:
CV_Error(Error::StsBadArg,
"Unsupported image format! Only CV_8U, CV_8UC2, CV_8UC3 and CV_8UC4 are supported");
"Unsupported norm type! Only NORM_L2 and NORM_L1 are supported");
}
}