diff --git a/datasets/raise/extract_noise.py b/datasets/raise/extract_noise.py
index dd3aba5..6ddc706 100755
--- a/datasets/raise/extract_noise.py
+++ b/datasets/raise/extract_noise.py
@@ -7,7 +7,7 @@ from PIL import Image
 import os
 from tqdm import tqdm
 
-imagesFolderPath = 'flat-field'
+imagesFolderPath = 'raise_nef_png'
 denoiser = 'wavelet'
 npArrayFilePath = f'mean_{imagesFolderPath}_{denoiser}.npy'
 
@@ -16,7 +16,35 @@ denoise = getattr(skimage.restoration, f'denoise_{denoiser}')
 mean = None
 numberOfImagesInMean = 0
 
+import csv
+import magic
+import re
+
+deviceFiles = {}
+resolutionFiles = {}
+files = {}
+resolutionFiles = {}
+
+with open('RAISE_all.csv') as csvfile:
+    reader = csv.DictReader(csvfile)
+    for row in tqdm(list(reader)):
+        file = row['File'] + '.png'
+        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)
+        #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