Files
rawTherapee/rtengine/impulse_denoise.h
ffsup2 446cddcc80 bugfix for crash when user empties trash bin
bug introduced with latest patch for memory leaks
When a widget is not constant but changed during operation it mustn't be "manged" automatically by gtk.
2011-05-13 23:13:34 +02:00

127 lines
3.6 KiB
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/*
* This file is part of RawTherapee.
*
* RawTherapee is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* RawTherapee is distributed in the hope that it will be useful,
* but widthITheightOUT ANY widthARRANTY; without even the implied warranty of
* MERCheightANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with RawTherapee. If not, see <http://www.gnu.org/licenses/>.
*
* 2010 Emil Martinec <ejmartin@uchicago.edu>
*
*/
#define SQR(x) ((x)*(x))
#include <cstddef>
#include <algorithm>
#include <labimage.h>
#include <improcfun.h>
namespace rtengine {
void ImProcFunctions::impulse_nr (LabImage* lab, double thresh) {
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// impulse noise removal
// local variables
int width = lab->W;
int height = lab->H;
float hpfabs, hfnbrave;
// buffer for the lowpass image
float ** lpf = new float *[height];
// buffer for the highpass image
float ** impish = new float *[height];
for (int i=0; i<height; i++) {
lpf[i] = new float [width];
//memset (lpf[i], 0, width*sizeof(float));
impish[i] = new float [width];
//memset (impish[i], 0, width*sizeof(unsigned short));
}
//The cleaning algorithm starts here
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// modified bilateral filter for lowpass image, omitting input pixel; or Gaussian blur
static float eps = 1.0;
float wtdsum[3], dirwt, norm;
int i1, j1;
//rangeblur<unsigned short, unsigned int> (lab->L, lpf, impish /*used as buffer here*/, width, height, thresh, false);
AlignedBuffer<double>* buffer = new AlignedBuffer<double> (MAX(width,height));
gaussHorizontal<float> (lab->L, lpf, buffer, width, height, 2.0, false /*multiThread*/);
gaussVertical<float> (lpf, lpf, buffer, width, height, 2.0, false);
delete buffer;
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for (int i=0; i < height; i++)
for (int j=0; j < width; j++) {
hpfabs = fabs(lab->L[i][j]-lpf[i][j]);
//block average of high pass data
for (i1=MAX(0,i-2), hfnbrave=0; i1<=MIN(i+2,height-1); i1++ )
for (j1=MAX(0,j-2); j1<=MIN(j+2,width-1); j1++ ) {
hfnbrave += fabs(lab->L[i1][j1]-lpf[i1][j1]);
}
hfnbrave = (hfnbrave-hpfabs)/24;
hpfabs>(hfnbrave*(5.5-thresh)) ? impish[i][j]=1 : impish[i][j]=0;
}//now impulsive values have been identified
for (int i=0; i < height; i++)
for (int j=0; j < width; j++) {
if (!impish[i][j]) continue;
norm=0.0;
wtdsum[0]=wtdsum[1]=wtdsum[2]=0.0;
for (i1=MAX(0,i-2), hfnbrave=0; i1<=MIN(i+2,height-1); i1++ )
for (j1=MAX(0,j-2); j1<=MIN(j+2,width-1); j1++ ) {
if (i1==i && j1==j) continue;
if (impish[i1][j1]) continue;
dirwt = 1/(SQR(lab->L[i1][j1]-lab->L[i][j])+eps);//use more sophisticated rangefn???
wtdsum[0] += dirwt*lab->L[i1][j1];
wtdsum[1] += dirwt*lab->a[i1][j1];
wtdsum[2] += dirwt*lab->b[i1][j1];
norm += dirwt;
}
//wtdsum /= norm;
if (norm) {
lab->L[i][j]=wtdsum[0]/norm;//low pass filter
lab->a[i][j]=wtdsum[1]/norm;//low pass filter
lab->b[i][j]=wtdsum[2]/norm;//low pass filter
}
}//now impulsive values have been corrected
for (int i=0; i<height; i++) {
delete [] lpf[i];
delete [] impish[i];
}
delete [] lpf;
delete [] impish;
}
}