diff --git a/datasets/raise/attribute_source_camera.py b/datasets/raise/attribute_source_camera.py
index 79a4c85..8cfbdcc 100755
--- a/datasets/raise/attribute_source_camera.py
+++ b/datasets/raise/attribute_source_camera.py
@@ -53,6 +53,11 @@ numberOfTrainingImages = int(minimumNumberOfImagesCameras * TRAINING_PORTION)
 numberOfTestingImages = minimumNumberOfImagesCameras - int(minimumNumberOfImagesCameras * TRAINING_PORTION)
 cameraTestingImagesNoise = {}
 
+def getImageFilePath(camera, cameraImageIndex):
+    imageFileName = imagesCamerasFileNames[camera][cameraImageIndex]
+    imageFilePath = f'{IMAGES_CAMERAS_FOLDER[camera]}/{imageFileName}'
+    return imageFilePath
+
 from utils import silentTqdm
 #tqdm = silentTqdm
 
@@ -65,9 +70,7 @@ for computeExtremes in tqdm(([True] if minColor is None or maxColor is None else
         print('Extracting noise of testing images')
         for camera in tqdm(IMAGES_CAMERAS_FOLDER, 'Camera'):
             for cameraTestingImageIndex in tqdm(range(numberOfTestingImages), 'Camera testing image index'):
-                # Should make a function
-                imageFileName = imagesCamerasFileNames[camera][numberOfTrainingImages + cameraTestingImageIndex]
-                imageFilePath = f'{IMAGES_CAMERAS_FOLDER[camera]}/{imageFileName}'
+                imageFilePath = getImageFilePath(camera, numberOfTrainingImages + cameraTestingImageIndex)
                 print(f'{imageFilePath=}')
 
                 # Should make a function
@@ -80,8 +83,7 @@ for computeExtremes in tqdm(([True] if minColor is None or maxColor is None else
                 cameraTestingImagesNoise[camera] = cameraTestingImagesNoise.get(camera, []) + [imagePrnuEstimateNpArray]
     for cameraTrainingImageIndex in tqdm(range(minimumNumberOfImagesCameras if computeExtremes else numberOfTrainingImages), 'Camera training image index'):
         for cameraIndex, camera in enumerate(tqdm(IMAGES_CAMERAS_FOLDER, 'Camera')):
-            imageFileName = imagesCamerasFileNames[camera][cameraTrainingImageIndex]
-            imageFilePath = f'{IMAGES_CAMERAS_FOLDER[camera]}/{imageFileName}'
+            imageFilePath = getImageFilePath(camera, cameraTrainingImageIndex)
             singleColorChannelImages = {color: rescaleIfNeeded(getColorChannel(imageFilePath, color)[:minimalColorChannelCameraResolution[0],:minimalColorChannelCameraResolution[1]], minColor, maxColor) for color in Color}
             multipleColorsImage = mergeSingleColorChannelImagesAccordingToBayerFilter(singleColorChannelImages)