diff --git a/datasets/fake/generate_dataset.py b/datasets/fake/generate_dataset.py
index a6c2294..eac391d 100644
--- a/datasets/fake/generate_dataset.py
+++ b/datasets/fake/generate_dataset.py
@@ -22,12 +22,12 @@ IMAGE_SIZE_SHAPE = (IMAGE_SIZE, IMAGE_SIZE)
 
 # Generate PRNUs and images of phones.
 # Is such `np.maximum` probabilistically correct with our theoretical method? See #19.
-def randomImage(scale):
+def randomGaussianImage(scale):
     return np.random.normal(loc = 0, scale = scale, size = IMAGE_SIZE_SHAPE)
 
-imagesWithoutPrnu = [[randomImage(scale = 1) for _ in range(NUMBER_OF_IMAGES_PER_PHONE)] for phoneIndex in range(NUMBER_OF_PHONES)]
+imagesWithoutPrnu = [[randomGaussianImage(scale = 1) for _ in range(NUMBER_OF_IMAGES_PER_PHONE)] for phoneIndex in range(NUMBER_OF_PHONES)]
 
-prnus = [randomImage(scale = PRNU_FACTOR) for _ in range(NUMBER_OF_PHONES)]
+prnus = [randomGaussianImage(scale = PRNU_FACTOR) for _ in range(NUMBER_OF_PHONES)]
 
 imagesWithPrnu = [[imageWithoutPrnu + prnus[phoneIndex] for imageWithoutPrnu in imagesWithoutPrnu[phoneIndex]] for phoneIndex in range(NUMBER_OF_PHONES)]