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Zadanie_06_Dawid

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Dawid_Kreft 2020-04-06 23:35:54 +02:00
parent 908b1fd1f2
commit 419c01cf59
3 changed files with 124 additions and 12 deletions
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26
src/core/transformations/convolution.cpp
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@ -35,6 +35,9 @@ PNM* Convolution::convolute(math::matrix<float> mask, Mode mode = RepeatEdge)
PNM* newImage = new PNM(width, height, image->format());
qDebug() << Q_FUNC_INFO << "Not implemented yet!";
return newImage;
@ -50,6 +53,15 @@ const math::matrix<float> Convolution::join(math::matrix<float> A, math::matrix<
qDebug() << Q_FUNC_INFO << "Not implemented yet!";
for(int x = 0; x < size ; x++){
for(int y = 0; y < size ; y++){
C(x,y) = A(x,y) * B(x,y);
}
}
return C;
}
@ -58,8 +70,22 @@ const float Convolution::sum(const math::matrix<float> A)
{
float sum = 0.0;
int size = A.rowno();
float t = 4.0;
;
for(int x = 0; x < (int) A.size() ; x++){
}
qDebug() << Q_FUNC_INFO << "Not implemented yet!";
return sum;
}

63
src/core/transformations/noise_bilateral.cpp
View File

@ -21,28 +21,73 @@ PNM* NoiseBilateral::transform()
sigma_r = getParameter("sigma_r").toInt();
radius = sigma_d;
qDebug() << Q_FUNC_INFO << "Not implemented yet!";
for(int x = 0 ; x < width; x++){
for (int y = 0 ; y < height; y++) {
int g = calcVal(x,y, GChannel);
int r = calcVal(x,y, RChannel);
int b = calcVal(x,y, BChannel);
newImage->setPixel(x,y,QColor(r,g,b).rgba());
}
}
return newImage;
}
int NoiseBilateral::calcVal(int x, int y, Channel channel)
{
qDebug() << Q_FUNC_INFO << "Not implemented yet!";
double sumNumerator = 0;
double sumDenominator = 0;
return 0;
double colorClosenes = 0;
double spatialClosennes = 0;
int colorValue;
int colorValueRef;
for ( int i = x- radius ; i <= x+radius ; i++) {
for ( int j = y- radius ; j <= y+radius ; j++) {
if ( i+radius >= image->width() ||
i-radius < 0 ||
j+radius >= image->height() ||
j-radius < 0 ) {
continue;
}
if (channel==LChannel){
colorValue = qAlpha(image->pixel(i,j));
colorValueRef = qAlpha(image->pixel(x,y));
}
if (channel==RChannel){
colorValue = (qRed(image->pixel(i,j)));
colorValueRef = qRed(image->pixel(x,y));
}
if (channel==GChannel){
colorValueRef = qGreen(image->pixel(x,y));
colorValue = (qGreen(image->pixel(i,j)));
}
if (channel==BChannel){
colorValueRef = qBlue(image->pixel(x,y));
colorValue = ( qBlue(image->pixel(i,j)));
}
colorClosenes = colorCloseness(colorValue,colorValueRef);
spatialClosennes = spatialCloseness( QPoint(i,j),QPoint(x,y));
sumNumerator = sumNumerator +( colorValue* colorClosenes * spatialClosennes);
sumDenominator =sumDenominator + ( colorClosenes * spatialClosennes);
}
}
return sumNumerator/sumDenominator;
}
float NoiseBilateral::colorCloseness(int val1, int val2)
{
qDebug() << Q_FUNC_INFO << "Not implemented yet!";
return 0;
return exp(-(((val1-val2)^2)/(2*sigma_r^2)));
}
float NoiseBilateral::spatialCloseness(QPoint point1, QPoint point2)
{
qDebug() << Q_FUNC_INFO << "Not implemented yet!";
return 0;
return exp(-((point1.x() - point2.x())^2 + ( point1.y() - point2.y())^2)/(2*sigma_d^2));
}

47
src/core/transformations/noise_median.cpp
View File

@ -17,16 +17,57 @@ PNM* NoiseMedian::transform()
PNM* newImage = new PNM(width, height, image->format());
qDebug() << Q_FUNC_INFO << "Not implemented yet!";
for(int x = 0 ; x < width; x++){
for (int y = 0 ; y < height; y++) {
int g = getMedian(x,y, GChannel);
int r = getMedian(x,y, RChannel);
int b = getMedian(x,y, BChannel);
newImage->setPixel(x,y,QColor(r,g,b).rgba());
}
}
return newImage;
}
int NoiseMedian::getMedian(int x, int y, Channel channel)
{
int radius = getParameter("radius").toInt();
QSet<int> set;
qDebug() << Q_FUNC_INFO << "Not implemented yet!";
QList<int> list = QList<int>::fromSet(set);
std::sort(list.begin(), list.end());
return 0;
for ( int i = x- radius ; i <= x+radius ; i++) {
for ( int j = y- radius ; j <= y+radius ; j++) {
if ( i+radius >= image->width() ||
i-radius < 0 ||
j+radius >= image->height() ||
j-radius < 0 ) {
continue;
}
if (channel==LChannel) set.insert(qAlpha(image->pixel(i,j)));
if (channel==RChannel) set.insert(qRed(image->pixel(i,j)));
if (channel==GChannel) set.insert(qGreen(image->pixel(i,j)));
if (channel==BChannel) set.insert( qBlue(image->pixel(i,j)));
}
}
QList<int> data = QList<int>::fromSet(set);
std::sort(data.begin(), data.end());
int result =0 ;
if( data.size() %2 == 1){
result = data.at(data.size()/2);
}else if(data.size()>3){
int first_med = data.at((data.size()/2 )-1);
int sec_dem = data.at((data.size()/2 ));
result = (first_med+sec_dem)/2;
}
data.clear();
set.clear();
return result;
}