diff --git a/datasets/raise/find_consecutive_most_similar_images.py b/datasets/raise/find_consecutive_most_similar_images.py
index 54d6679..3d7a463 100644
--- a/datasets/raise/find_consecutive_most_similar_images.py
+++ b/datasets/raise/find_consecutive_most_similar_images.py
@@ -4,8 +4,6 @@ from tqdm import tqdm
 
 folder = 'flat-field/NEF'
 
-# Could focus on a given crop.
-
 # Section I. of *Determining Image Origin and Integrity Using Sensor Noise*.
 def dotProduct(X, Y):
     return np.multiply(X, Y).sum()
@@ -27,7 +25,6 @@ highestCorrelation = None
 highestCorrelationFile = None
 
 for file in tqdm(sorted(os.listdir(folder)), 'File'):
-    #print(file)
     colorChannels = {}
     for color in Color:
         colorChannel = getColorChannel(f'{folder}/{file}', color)
@@ -36,8 +33,6 @@ for file in tqdm(sorted(os.listdir(folder)), 'File'):
     mergedSingleColorChannelImage = mergeSingleColorChannelImagesAccordingToBayerFilter(colorChannels)
     if lastMergedSingleColorChannelImage is not None:
         correlation = corr(mergedSingleColorChannelImage, lastMergedSingleColorChannelImage)
-        #print(correlation)
-        #break
         if highestCorrelation is None or correlation > highestCorrelation:
             highestCorrelation = correlation