static bool ocl_fastNlMeansDenoisingColored( InputArray _src, OutputArray _dst,
float h, float hForColorComponents,
int templateWindowSize, int searchWindowSize)
{
UMat src = _src.getUMat();
_dst.create(src.size(), src.type());
UMat dst = _dst.getUMat();
UMat src_lab;
cvtColor(src, src_lab, COLOR_LBGR2Lab);
UMat l(src.size(), CV_8U);
UMat ab(src.size(), CV_8UC2);
std::vector<UMat> l_ab(2), l_ab_denoised(2);
l_ab[0] = l;
l_ab[1] = ab;
l_ab_denoised[0].create(src.size(), CV_8U);
l_ab_denoised[1].create(src.size(), CV_8UC2);
int from_to[] = { 0,0, 1,1, 2,2 };
mixChannels(std::vector<UMat>(1, src_lab), l_ab, from_to, 3);
fastNlMeansDenoising(l_ab[0], l_ab_denoised[0], h, templateWindowSize, searchWindowSize);
fastNlMeansDenoising(l_ab[1], l_ab_denoised[1], hForColorComponents, templateWindowSize, searchWindowSize);
UMat dst_lab(src.size(), CV_8UC3);
mixChannels(l_ab_denoised, std::vector<UMat>(1, dst_lab), from_to, 3);
cvtColor(dst_lab, dst, COLOR_Lab2LBGR, src.channels());
return true;
}
void cv::fastNlMeansDenoisingColored( InputArray _src, OutputArray _dst,
float h, float hForColorComponents,
int templateWindowSize, int searchWindowSize)
{
Mat src = _src.getMat();
_dst.create(src.size(), src.type());
Mat dst = _dst.getMat();
if (src.type() != CV_8UC3) {
CV_Error(CV_StsBadArg, "Type of input image should be CV_8UC3!");
return;
}
Mat src_lab;
cvtColor(src, src_lab, CV_LBGR2Lab);
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);
fastNlMeansDenoising(l, l, h, templateWindowSize, searchWindowSize);
fastNlMeansDenoising(ab, ab, hForColorComponents, templateWindowSize, searchWindowSize);
Mat l_ab_denoised[] = { l, ab };
Mat dst_lab(src.size(), src.type());
mixChannels(l_ab_denoised, 2, &dst_lab, 1, from_to, 3);
cvtColor(dst_lab, dst, CV_Lab2LBGR);
}
void cv::fastNlMeansDenoisingColored( InputArray _src, OutputArray _dst,
float h, float hForColorComponents,
int templateWindowSize, int searchWindowSize)
{
int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
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()),
ocl_fastNlMeansDenoisingColored(_src, _dst, h, hForColorComponents,
templateWindowSize, searchWindowSize))
Mat src = _src.getMat();
_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_ab[] = { l, ab };
int from_to[] = { 0,0, 1,1, 2,2 };
mixChannels(&src_lab, 1, l_ab, 2, from_to, 3);
fastNlMeansDenoising(l, l, h, templateWindowSize, searchWindowSize);
fastNlMeansDenoising(ab, ab, hForColorComponents, templateWindowSize, searchWindowSize);
Mat l_ab_denoised[] = { l, ab };
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);
}
void test8uc1(bool show=false)
{
Mat src = imread("image.png",0);
Mat noise;
Mat dest;
int64 pre;
float sigma = 15;
cout<<"gray"<<endl;
cout<<"sigma: "<<sigma<<endl;
cout<<"RAW: "<<endl;
addNoise(src,noise,sigma);
cout<<PSNR(src,noise)<<"dB"<<endl;
cout<<endl;
cout<<"NML opencv: "<<endl;
pre = getTickCount();
fastNlMeansDenoising(noise,dest,sigma,3,7);
cout<<(getTickCount()-pre)/(getTickFrequency())*1000<<"ms"<<endl;
cout<<PSNR(src,dest)<<"dB"<<endl;
cout<<endl;
cout<<"NML base: "<<endl;
pre = getTickCount();
nonLocalMeansFilterBase(noise,dest,3,7,sigma);
cout<<(getTickCount()-pre)/(getTickFrequency())*1000<<"ms"<<endl;
cout<<PSNR(src,dest)<<"dB"<<endl;
cout<<endl;
cout<<"NML sse4: "<<endl;
pre = getTickCount();
nonLocalMeansFilter(noise,dest,3,7,sigma);
cout<<(getTickCount()-pre)/(getTickFrequency())*1000<<"ms"<<endl;
cout<<PSNR(src,dest)<<"dB"<<endl;
cout<<endl;
if(show)
{
imshow("noise",noise);
imshow("NLM",dest);
waitKey();
}
}
/**
* Main processing function.
* Read input image and create vector of images for each digit.
*/
void ImageProcessor::process() {
_digits.clear();
// convert to gray
cvtColor(_img, _imgGray, CV_BGR2GRAY);
fastNlMeansDenoising(_imgGray, _imgGray, 10);
cv::imshow("Denoising", _imgGray);
_imgCalque = imread("./images/calque.png");
cvtColor(_imgCalque, _imgCalqueGray, CV_BGR2GRAY);
addWeighted( _imgGray, 0.65, _imgCalqueGray, 0.35, 0.0, _imgGray);
cv::imshow("ImageProcessor1", _imgGray);
threshold(_imgGray, _imgGray, 135, 255, 3);
cv::imshow("ImageProcessor2", _imgGray);
// find and isolate counter digits
findCounterDigits();
if (_debugWindow) {
showImage();
}
}
