zadanie-4
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@ -1,4 +1,6 @@
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#define _USE_MATH_DEFINES
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#include "blur_gaussian.h"
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#include <math.h>
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BlurGaussian::BlurGaussian(PNM* img) :
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Convolution(img)
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@ -25,15 +27,18 @@ math::matrix<float> BlurGaussian::getMask(int size, Mode)
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{
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math::matrix<float> mask(size, size);
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qDebug() << Q_FUNC_INFO << "Not implemented yet!";
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int half = size / 2;
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for (int x=0;x<size;++x) {
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for (int y=0;y<size;++y) {
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mask[x][y] = getGauss(x - half, y - half, sigma);
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}
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}
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return mask;
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}
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float BlurGaussian::getGauss(int x, int y, float sigma)
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{
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qDebug() << Q_FUNC_INFO << "Not implemented yet!";
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return 0;
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return exp(-((pow(x, 2.0) + pow(y, 2.0)) / 2 * pow(sigma, 2.0))) / (2 * M_PI * pow(sigma, 2.0));
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}
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@ -18,7 +18,22 @@ PNM* BlurLinear::transform()
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math::matrix<float> mask(maskSize, maskSize);
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qDebug() << Q_FUNC_INFO << "Not implemented yet!";
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double maskSum = 0.0;
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if (normalize) {
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for (int i=0;i<tmpMask.size();++i) {
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maskSum += tmpMask.at(i).toDouble();
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}
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}
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for (int x=0;x<maskSize;++x) {
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for (int y=0;y<maskSize;++y) {
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double val = tmpMask.at((x * maskSize) + y).toDouble();
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if (normalize && maskSum != 0.0) {
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val /= maskSum;
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}
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mask[x][y] = val;
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}
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}
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return convolute(mask, RepeatEdge);
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}
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@ -14,7 +14,11 @@ math::matrix<float> BlurUniform::getMask(int size, Mode)
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{
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math::matrix<float> mask(size, size);
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qDebug() << Q_FUNC_INFO << "Not implemented yet!";
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for (int x=0; x<size; ++x) {
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for (int y=0; y<size; ++y) {
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mask[x][y] = 1.0;
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}
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}
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return mask;
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}
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@ -22,7 +22,15 @@ math::matrix<float> Convolution::getMask(int size, Mode mode = Normalize)
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{
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math::matrix<float> mask(size, size);
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qDebug() << Q_FUNC_INFO << "Not implemented yet!";
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for (int i=0; i<size; ++i) {
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for (int j=0; j<size; ++j) {
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if (i / 2 == size / 2)
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mask[i][j] = 1;
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else
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mask[i][j] = 0;
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}
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}
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return mask;
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}
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@ -35,11 +43,35 @@ PNM* Convolution::convolute(math::matrix<float> mask, Mode mode = RepeatEdge)
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PNM* newImage = new PNM(width, height, image->format());
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qDebug() << Q_FUNC_INFO << "Not implemented yet!";
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float weight = sum(mask);
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for (int x=0; x<width; ++x) {
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for (int y=0; y<height; ++y) {
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int r = getOneChannelPixel(mask, x, y, mode, RChannel, weight);
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int g = getOneChannelPixel(mask, x, y, mode, GChannel, weight);
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int b = getOneChannelPixel(mask, x, y, mode, BChannel, weight);
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newImage->setPixel(x, y, QColor(r,g,b).rgb());
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}
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}
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return newImage;
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}
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int Convolution::getOneChannelPixel(math::matrix<float>& mask, int x, int y, Mode mode, Channel channel, float weight) {
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math::matrix<float> window = getWindow(x, y, mask.colsize(), channel, mode);
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float summed = sum(join(window, mask));
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if (weight != 0)
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summed /= weight;
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if (summed < 0)
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summed = 0;
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else if (summed > 255)
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summed = 255;
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return summed;
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}
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/** Joins to matrices by multiplying the A[i,j] with B[i,j].
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* Warning! Both Matrices must be squares with the same size!
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*/
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@ -48,7 +80,11 @@ const math::matrix<float> Convolution::join(math::matrix<float> A, math::matrix<
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int size = A.rowno();
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math::matrix<float> C(size, size);
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qDebug() << Q_FUNC_INFO << "Not implemented yet!";
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for (int i=0; i<size; ++i) {
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for (int j=0; j<size; ++j) {
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C[i][j] = A[i][j] * B[i][j];
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}
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}
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return C;
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}
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@ -56,12 +92,7 @@ const math::matrix<float> Convolution::join(math::matrix<float> A, math::matrix<
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/** Sums all of the matrixes elements */
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const float Convolution::sum(const math::matrix<float> A)
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{
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float sum = 0.0;
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qDebug() << Q_FUNC_INFO << "Not implemented yet!";
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return sum;
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return A.sum();
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}
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@ -71,7 +102,11 @@ const math::matrix<float> Convolution::reflection(const math::matrix<float> A)
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int size = A.rowno();
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math::matrix<float> C(size, size);
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qDebug() << Q_FUNC_INFO << "Not implemented yet!";
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for (int i=0; i<size; ++i) {
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for (int j=0; j<size; ++j) {
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C[size - i][size - j] = A[i][j];
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}
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}
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return C;
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}
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@ -18,6 +18,7 @@ protected:
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const math::matrix<float> join(math::matrix<float>, math::matrix<float>);
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const float sum(math::matrix<float>);
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const math::matrix<float> reflection(math::matrix<float>);
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int getOneChannelPixel(math::matrix<float>& mask, int x, int y, Mode mode, Channel channel, float weight);
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};
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#endif // CONVOLUTION_H
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@ -103,9 +103,9 @@ QRgb Transformation::getPixel(int x, int y, Mode mode)
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*/
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QRgb Transformation::getPixelCyclic(int x, int y)
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{
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qDebug() << Q_FUNC_INFO << "Not implemented yet!";
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return image->pixel(x,y);
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int width = image->size().width();
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int height = image->size().height();
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return image->pixel(x % width,y % height);
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}
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/**
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@ -114,7 +114,12 @@ QRgb Transformation::getPixelCyclic(int x, int y)
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*/
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QRgb Transformation::getPixelNull(int x, int y)
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{
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qDebug() << Q_FUNC_INFO << "Not implemented yet!";
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const QRgb blackPixel = qRgb(0, 0, 0);
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int width = image->size().width();
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int height = image->size().height();
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if (x >= width || x < 0 || y >= height || y < 0)
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return blackPixel;
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return image->pixel(x,y);
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}
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@ -126,8 +131,14 @@ QRgb Transformation::getPixelNull(int x, int y)
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*/
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QRgb Transformation::getPixelRepeat(int x, int y)
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{
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qDebug() << Q_FUNC_INFO << "Not implemented yet!";
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int width = image->size().width();
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int height = image->size().height();
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if (x >= width) x = width - 1;
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if (x < 0) x = 0;
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if (y >= height) y = height - 1;
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if (y < 0) y = 0;
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return image->pixel(x,y);
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}
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@ -138,7 +149,20 @@ math::matrix<float> Transformation::getWindow(int x, int y, int size,
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{
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math::matrix<float> window(size,size);
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qDebug() << Q_FUNC_INFO << "Not implemented yet!";
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int half = size/2;
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for (int i=0; i<size; ++i) {
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for (int j=0; j<size; ++j) {
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QRgb pixel = getPixel(x + (i - half),y + (j - half), mode);
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int pixelVal;
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switch (channel) {
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case RChannel: pixelVal = qRed(pixel); break;
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case GChannel: pixelVal = qGreen(pixel); break;
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case BChannel: pixelVal = qBlue(pixel); break;
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case LChannel: pixelVal = qGray(pixel); break;
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}
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window[i][j] = pixelVal;
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}
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}
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return window;
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}
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