fastNlMeansDenoisingColored.cpp

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#include "mexopencv.hpp"
#include "opencv2/photo.hpp"
using namespace std;
using namespace cv;

void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
    // Check the number of arguments
    nargchk(nrhs>=1 && (nrhs%2)==1 && nlhs<=1);

    // Argument vector
    vector<MxArray> rhs(prhs, prhs+nrhs);

    // Option processing
    float h = 3;
    float hColor = 3;
    int templateWindowSize = 7;
    int searchWindowSize = 21;
    bool flip = true;
    for (int i=1; i<nrhs; i+=2) {
        string key(rhs[i].toString());
        if (key == "H")
            h = rhs[i+1].toFloat();
        else if (key == "HColor")
            hColor = rhs[i+1].toFloat();
        else if (key == "TemplateWindowSize")
            templateWindowSize = rhs[i+1].toInt();
        else if (key == "SearchWindowSize")
            searchWindowSize = rhs[i+1].toInt();
        else if (key == "FlipChannels")
            flip = rhs[i+1].toBool();
        else
            mexErrMsgIdAndTxt("mexopencv:error",
                "Unrecognized option %s", key.c_str());
    }

    // Process
    Mat src(rhs[0].toMat(CV_8U)), dst;
    if (flip && (src.channels() == 3 || src.channels() == 4)) {
        // MATLAB's default is RGB/RGBA while OpenCV's is BGR/BGRA
        cvtColor(src, src, (src.channels()==3 ?
            cv::COLOR_RGB2BGR : cv::COLOR_RGBA2BGRA));
    }
    fastNlMeansDenoisingColored(src, dst, h, hColor,
        templateWindowSize, searchWindowSize);
    if (flip && (dst.channels() == 3 || dst.channels() == 4)) {
        // OpenCV's default is BGR/BGRA while MATLAB's is RGB/RGBA
        cvtColor(dst, dst, (dst.channels()==3 ?
            cv::COLOR_BGR2RGB : cv::COLOR_BGRA2RGBA));
    }
    plhs[0] = MxArray(dst);
}