diff --git a/datasets/raise/analyze_bayer_filter_mean_denoiser.py b/datasets/raise/analyze_bayer_filter_mean_denoiser.py
index fba2548..2e92417 100644
--- a/datasets/raise/analyze_bayer_filter_mean_denoiser.py
+++ b/datasets/raise/analyze_bayer_filter_mean_denoiser.py
@@ -5,13 +5,6 @@ from tqdm import tqdm
 import rawpy
 import matplotlib.pyplot as plt
 
-'''
-for color in Color:
-    #if color == 'green_bottom':
-    #    continue
-    print(color)
-'''
-
 os.chdir('flat-field/NEF')
 
 firstBayerFilterOccurrenceImages = []
@@ -36,8 +29,6 @@ COLOR_BASE = 256
 def getColor(colorIndex):
     return HEX_COLOR % tuple((255 if colorIndex == colorIndexTmp else 0) for colorIndexTmp in range(NUMBER_OF_COLORS))
 
-#X, Y = np.histogram(firstBayerFilterOccurrenceImages[:,0,0])
-#plt.plot(X, Y)
 for colorIndex, (colorY, colorX) in enumerate([(0, 0), (0, 1), (1, 1)]):
     X = firstBayerFilterOccurrenceImages[:, colorY, colorX] - np.mean(firstBayerFilterOccurrenceImages, axis = 0)[colorY, colorX]
     plt.hist(X, bins = len(set(X)), color = getColor(colorIndex), alpha = 0.3)