Kommentar zur Berechnung eingefügt

.idea/workspace.xml

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Code/Dyschromasie.py

 #Multiplikation der einzelnen Pixel
 for i in range(rows):
     for j in range(cols):
-        cb_image[i,j]  = np.flipud(T_reversed.dot(S_p).dot(T).dot(np.flipud(cb_image[i,j])))    #ToDo Statt RBG ist noch BGR
+        cb_image[i,j] = np.flipud(T_reversed.dot(S_p).dot(T).dot(np.flipud(cb_image[i,j])))
+        # Da OpenCV Pixelwerte in RGB speichert, aber BGR für den Algorithmus nötig ist, muss die Matrix mit flipud gedreht werden
 
 sim_image = np.copy(cb_image)
 sim_image = sim_image.astype('uint8')