linear blur

src/core/transformations/blur_gaussian.cpp

@@ -25,15 +25,16 @@ math::matrix<float> BlurGaussian::getMask(int size, Mode)
 {
     math::matrix<float> mask(size, size);
 
-    qDebug() << Q_FUNC_INFO << "Not implemented yet!";
+    for (int i = 0; i < size; i++)
+        for (int j = 0; j < size; j++)
+            mask(i, j) = getGauss(i - radius, j - radius, sigma);
 
     return mask;
 }
 
 float BlurGaussian::getGauss(int x, int y, float sigma)
 {    
-    qDebug() << Q_FUNC_INFO << "Not implemented yet!";
-
-    return 0;
+    float expValue = exp(-(pow(x, 2) + pow(y, 2)) / (2 * pow(sigma, 2)));
+    return (1 / (2 * M_PI * pow(sigma, 2))) * expValue;
 }
 

src/core/transformations/blur_linear.cpp

@@ -10,15 +10,32 @@ BlurLinear::BlurLinear(PNM* img, ImageViewer* iv) :
 {
 }
 
-PNM* BlurLinear::transform()
-{
+PNM* BlurLinear::transform() {
     int maskSize = getParameter("size").toInt();
     QList<QVariant> tmpMask = getParameter("mask").toList();
     bool normalize = getParameter("normalize").toBool();
 
     math::matrix<float> mask(maskSize, maskSize);
 
-    qDebug() << Q_FUNC_INFO << "Not implemented yet!";
+    int currentMask = 0;
+    for (int x = 0; x < maskSize; x++) {
+        for (int y = 0; y < maskSize; y++) {
+            mask(x, y) = tmpMask.at(currentMask).toDouble();
+            currentMask++;
+        }
+    }
+
+    if (normalize) {
+        float summed = sum(mask);
+        if (summed == 0) {
+            summed = 1.0;
+        }
+        for (int x = 0; x < maskSize; x++) {
+            for (int y = 0; y < maskSize; y++) {
+                mask(x, y) /= summed;
+            }
+        }
+    }
 
     return convolute(mask, RepeatEdge);
 }