int main(int argc, char **argv) {
if (argc < 5) {
printf("usage: nlmeans_ipol image sigma noisy denoised \n");
exit(-1);
}
// read input
size_t nx,ny,nc;
float *d_v = NULL;
d_v = io_png_read_f32(argv[1], &nx, &ny, &nc);
if (!d_v) {
printf("error :: %s not found or not a correct png image \n", argv[1]);
exit(-1);
}
// variables
int d_w = (int) nx;
int d_h = (int) ny;
int d_c = (int) nc;
if (d_c == 2) {
d_c = 1; // we do not use the alpha channel
}
if (d_c > 3) {
d_c = 3; // we do not use the alpha channel
}
int d_wh = d_w * d_h;
int d_whc = d_c * d_w * d_h;
// test if image is really a color image even if it has more than one channel
if (d_c > 1) {
// dc equals 3
int i=0;
while (i < d_wh && d_v[i] == d_v[d_wh + i] && d_v[i] == d_v[2 * d_wh + i ]) {
i++;
}
if (i == d_wh) d_c = 1;
}
// add noise
float fSigma = atof(argv[2]);
float *noisy = new float[d_whc];
for (int i=0; i < d_c; i++) {
fiAddNoise(&d_v[i * d_wh], &noisy[i * d_wh], fSigma, i, d_wh);
}
// denoise
float **fpI = new float*[d_c];
float **fpO = new float*[d_c];
float *denoised = new float[d_whc];
for (int ii=0; ii < d_c; ii++) {
fpI[ii] = &noisy[ii * d_wh];
fpO[ii] = &denoised[ii * d_wh];
}
int bloc, win;
float fFiltPar;
if (d_c == 1) {
if (fSigma > 0.0f && fSigma <= 15.0f) {
win = 1;
bloc = 10;
fFiltPar = 0.4f;
} else if ( fSigma > 15.0f && fSigma <= 30.0f) {
win = 2;
bloc = 10;
fFiltPar = 0.4f;
} else if ( fSigma > 30.0f && fSigma <= 45.0f) {
win = 3;
bloc = 17;
fFiltPar = 0.35f;
} else if ( fSigma > 45.0f && fSigma <= 75.0f) {
win = 4;
bloc = 17;
fFiltPar = 0.35f;
} else if (fSigma <= 100.0f) {
win = 5;
bloc = 17;
fFiltPar = 0.30f;
} else {
mexPrintf("error :: algorithm parametrized only for values of sigma less than 100.0\n");
exit(-1);
}
} else {
if (fSigma > 0.0f && fSigma <= 25.0f) {
win = 1;
bloc = 10;
fFiltPar = 0.55f;
} else if (fSigma > 25.0f && fSigma <= 55.0f) {
win = 2;
bloc = 17;
fFiltPar = 0.4f;
} else if (fSigma <= 100.0f) {
win = 3;
bloc = 17;
fFiltPar = 0.35f;
} else {
printf("error :: algorithm parametrized only for values of sigma less than 100.0\n");
exit(-1);
}
}
nlmeans_ipol(win, bloc, fSigma, fFiltPar, fpI, fpO, d_c, d_w, d_h);
// save noisy and denoised images
if (io_png_write_f32(argv[3], noisy, (size_t) d_w, (size_t) d_h, (size_t) d_c) != 0) {
printf("... failed to save png image %s", argv[3]);
}
if (io_png_write_f32(argv[4], denoised, (size_t) d_w, (size_t) d_h, (size_t) d_c) != 0) {
printf("... failed to save png image %s", argv[4]);
}
}
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
if ( nrhs != 2 )
mexErrMsgIdAndTxt("nlmeans:main", "Must have two inputs");
if ( mxGetClassID(prhs[0]) != mxSINGLE_CLASS )
mexErrMsgIdAndTxt("nlmeans:main", "nimg must be of type single");
if ( mxGetClassID(prhs[1]) != mxDOUBLE_CLASS )
mexErrMsgIdAndTxt("nlmeans:main", "fSigma must be of type double");
// sigma = (float) mxGetScalar(prhs[1]);
const mwSize *dims = mxGetDimensions(prhs[0]);
size_t ndims = mxGetNumberOfDimensions(prhs[0]);
int d_w = (int) dims[1];
int d_h = (int) dims[0];
int d_c = (int) ndims;
if (d_c == 2) {
d_c = 1; // we do not use the alpha channel
}
if (d_c > 3) {
d_c = 3; // we do not use the alpha channel
}
int d_wh = d_w * d_h;
int d_whc = d_c * d_w * d_h;
// test if image is really a color image even if it has more than one channel
/*
* if (d_c > 1) {
*
* // dc equals 3
* int i=0;
* while (i < d_wh && d_v[i] == d_v[d_wh + i] && d_v[i] == d_v[2 * d_wh + i ]) {
* i++;
* }
*
* if (i == d_wh) d_c = 1;
*
* }
*/
float fSigma = (float) mxGetScalar(prhs[1]);
float *noisy =(float *) mxGetPr(prhs[0]);
float **fpI = new float*[d_c];
float **fpO = new float*[d_c];
float *denoised = new float[d_whc];
for (int ii=0; ii < d_c; ii++) {
fpI[ii] = &noisy[ii * d_wh];
fpO[ii] = &denoised[ii * d_wh];
}
int bloc, win;
float fFiltPar;
if (d_c == 1) {
if (fSigma > 0.0f && fSigma <= 15.0f) {
win = 1;
bloc = 10;
fFiltPar = 0.4f;
} else if ( fSigma > 15.0f && fSigma <= 30.0f) {
win = 2;
bloc = 10;
fFiltPar = 0.4f;
} else if ( fSigma > 30.0f && fSigma <= 45.0f) {
win = 3;
bloc = 17;
fFiltPar = 0.35f;
} else if ( fSigma > 45.0f && fSigma <= 75.0f) {
win = 4;
bloc = 17;
fFiltPar = 0.35f;
} else if (fSigma <= 100.0f) {
win = 5;
bloc = 17;
fFiltPar = 0.30f;
} else {
mexPrintf("error :: algorithm parametrized only for values of sigma less than 100.0\n");
exit(-1);
}
} else {
if (fSigma > 0.0f && fSigma <= 25.0f) {
win = 1;
bloc = 10;
fFiltPar = 0.55f;
} else if (fSigma > 25.0f && fSigma <= 55.0f) {
win = 2;
bloc = 17;
fFiltPar = 0.4f;
} else if (fSigma <= 100.0f) {
win = 3;
bloc = 17;
fFiltPar = 0.35f;
} else {
mexPrintf("error :: algorithm parametrized only for values of sigma less than 100.0\n");
exit(-1);
}
}
nlmeans_ipol(win, bloc, fSigma, fFiltPar, fpI, fpO, d_c, d_w, d_h);
plhs[0] = mxCreateNumericArray(ndims,dims,mxSINGLE_CLASS,mxREAL); /* Create the output matrix */
float *B = (float *) mxGetPr(plhs[0]);
for(int k = 0; k < d_c; k++)
{
for(int n = 0; n < d_w; n++)
{
for(int m = 0; m < d_h; m++)
{
B[m + d_h*n + k*d_w*d_h] = denoised[m + d_h*n + k*d_h*d_w];
}
}
}
}
