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/********************************************************************************
* Copyright (C) 2015 by Simon Wendsche *
* *
* This file is part of NormalmapGenerator. *
* *
* NormalmapGenerator 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. *
* *
* NormalmapGenerator is distributed in the hope that it will be useful, *
* but WITHOUT ANY WARRANTY; without even the implied warranty of *
* MERCHANTABILITY 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 this program. If not, see <http://www.gnu.org/licenses/>. *
* *
* Sourcecode: https://github.com/Theverat/NormalmapGenerator *
********************************************************************************/
#include "boxblur.h"
#include <iostream>
BoxBlur::BoxBlur()
{
}
IntensityMap BoxBlur::calculate(IntensityMap input, int radius, bool tileable) {
IntensityMap result = IntensityMap(input.getWidth(), input.getHeight());
int kernelPixelAmount = (2 * radius + 1) * (2 * radius + 1);
#pragma omp parallel for // OpenMP
for(size_t y = 0; y < input.getHeight(); y++) {
for(size_t x = 0; x < input.getWidth(); x++) {
float sum = 0.0;
//blur kernel loops
for(int i = -radius; i < radius; i++) {
for(int k = -radius; k < radius; k++) {
int posY = handleEdges(y + i, input.getHeight(), tileable);
int posX = handleEdges(x + k, input.getWidth(), tileable);
sum += input.at(posX, posY);
}
}
//normalize sum
sum /= kernelPixelAmount;
result.setValue(x, y, sum);
}
}
return result;
}
int BoxBlur::handleEdges(int iterator, int max, bool tileable) {
if(iterator < 0) {
if(tileable) {
int corrected = max + iterator;
//failsafe, e.g. if filter size is larger than image size
return handleEdges(corrected, max, false);
}
else {
return 0;
}
}
if(iterator >= max) {
if(tileable) {
int corrected = iterator - max;
//failsafe, e.g. if filter size is larger than image size
return handleEdges(corrected, max, false);
}
else {
return max - 1;
}
}
return iterator;
}