diff --git a/datasets/raise/extract_noise.py b/datasets/raise/extract_noise.py
index 6ddc706..d57946f 100755
--- a/datasets/raise/extract_noise.py
+++ b/datasets/raise/extract_noise.py
@@ -17,8 +17,6 @@ mean = None
 numberOfImagesInMean = 0
 
 import csv
-import magic
-import re
 
 deviceFiles = {}
 resolutionFiles = {}
@@ -32,19 +30,13 @@ with open('RAISE_all.csv') as csvfile:
         device = row['Device']
         resolution = row['Image Size']
         deviceFiles[file] = device
-        #resolutionFiles[file] = resolution
         image = Image.open(f'{imagesFolderPath}/{file}')
-        #t = magic.from_file(f'{imagesFolderPath}/{file}.png')
         resolution = image.size
-        resolutionFiles[file] = resolution#re.search('(\d+) x (\d+)', t).groups()
-        #print(device, resolution)
+        resolutionFiles[file] = resolution
         #files[f'{file}.png'] = row
 
 imagesFileNames = os.listdir(imagesFolderPath)
-#print(len(imagesFileNames))
-# imageFileName.replace('.png', '')
 imagesFileNames = [imageFileName for imageFileName in imagesFileNames if deviceFiles[imageFileName] == 'Nikon D7000' and resolutionFiles[imageFileName] == (4946, 3278)]
-#print(len(imagesFileNames))
 
 def treatImage(imageFileName):
     global mean, numberOfImagesInMean