diff --git a/algorithms/distance/rmsdiff.py b/algorithms/distance/rms_diff.py
similarity index 93%
rename from algorithms/distance/rmsdiff.py
rename to algorithms/distance/rms_diff.py
index c30a1a8..4c0eba3 100644
--- a/algorithms/distance/rmsdiff.py
+++ b/algorithms/distance/rms_diff.py
@@ -3,7 +3,7 @@ import math
 import operator
 import functools
 
-def rmsdiff(im1, im2):
+def rmsDiffPil(im1, im2):
     "Calculate the root-mean-square difference between two images"
 
     h = ImageChops.difference(im1, im2).histogram()
@@ -12,3 +12,4 @@ def rmsdiff(im1, im2):
     return math.sqrt(functools.reduce(operator.add,
         map(lambda h, i: h*(i**2), h, range(256))
     ) / (float(im1.size[0]) * im1.size[1]))
+
diff --git a/datasets/fake/generate_dataset.py b/datasets/fake/generate_dataset.py
index e89ac4e..15b9a28 100644
--- a/datasets/fake/generate_dataset.py
+++ b/datasets/fake/generate_dataset.py
@@ -5,7 +5,7 @@ import sys
 
 sys.path.insert(0, '../../algorithms/distance/')
 
-from rmsdiff import rmsdiff
+from rms_diff import rmsDiffPil
 
 sys.path.insert(0, '../../algorithms/context_adaptive_interpolator/')
 
@@ -56,7 +56,7 @@ axs[1].imshow(imagesWithPrnu[0][0])
 
 imagesWithPrnuPil = [[toPilImage(imageWithPrnu) for imageWithPrnu in imagesWithPrnu[phoneIndex]] for phoneIndex in range(NUMBER_OF_PHONES)]
 #showImageWithMatplotlib(imagesWithPrnu[0][0])
-axs[2].set_title(f'First image with PRNU (RMS with image without PRNU: {rmsdiff(toPilImage(imagesWithPrnu[0][0]), toPilImage(imagesWithPrnu[0][0]))})')
+axs[2].set_title(f'First image with PRNU (RMS with image without PRNU: {rmsDiffPil(toPilImage(imagesWithPrnu[0][0]), toPilImage(imagesWithoutPrnu[0][0]))})')
 axs[2].imshow(imagesWithPrnu[0][0])
 
 imagesWithPrnuPil0Mean = np.array(imagesWithPrnuPil[0]).mean(axis = 0)
@@ -77,7 +77,7 @@ def getPhoneIndexByNearestPrnu(estimatedPrnu):
     nearestPrnuRmsDiff = None
     nearestPrnuPhoneIndex = None
     for phoneIndex, prnu in enumerate(prnusPil):
-        prnuRmsDiff = rmsdiff(estimatedPrnu, prnu)
+        prnuRmsDiff = rmsDiffPil(estimatedPrnu, prnu)
         if nearestPrnuRmsDiff is None or prnuRmsDiff < nearestPrnuRmsDiff:
             nearestPrnuRmsDiff = prnuRmsDiff
             nearestPrnuPhoneIndex = phoneIndex
@@ -99,9 +99,9 @@ for phoneIndex in range(NUMBER_OF_PHONES):
 
     phonePrnu = prnusPil[phoneIndex]
 
-    print('RMS diff with mean image =', rmsdiff(phoneImagesMean, phonePrnu))
-    print('RMS diff with mean CAI images =', rmsdiff(caiImagesMean, phonePrnu))
-    print('RMS diff with CAI images mean =', rmsdiff(caiOverPhoneImagesMean, phonePrnu))
+    print('RMS diff with mean image =', rmsDiffPil(phoneImagesMean, phonePrnu))
+    print('RMS diff with mean CAI images =', rmsDiffPil(caiImagesMean, phonePrnu))
+    print('RMS diff with CAI images mean =', rmsDiffPil(caiOverPhoneImagesMean, phonePrnu))
 
     guessedPhoneIndexByMeanImages = getPhoneIndexByNearestPrnu(phoneImagesMean)
     guessedPhoneIndexByMeanCAIImages = getPhoneIndexByNearestPrnu(caiImagesMean)