diff --git a/datasets/raise/split_and_compare_prnus_of_subgroups.py b/datasets/raise/split_and_compare_prnus_of_subgroups.py
index a44021f..81d72a6 100755
--- a/datasets/raise/split_and_compare_prnus_of_subgroups.py
+++ b/datasets/raise/split_and_compare_prnus_of_subgroups.py
@@ -57,12 +57,8 @@ for computeExtremes in tqdm(([True] if minColor is None or maxColor is None else
                 rms = rmsDiffNumpy(subgroupIterativeMean.mean, subgroupsIterativeMean[1 - subgroupIndex].mean)
                 rmss += [rms]
 
-mostImagesSubgroupPrnuEstimatesNpArray = [subgroupIterativeMean.mean for subgroupIterativeMean in subgroupsIterativeMean]
-minimum = np.min(mostImagesSubgroupPrnuEstimatesNpArray)
-maximum = np.max(mostImagesSubgroupPrnuEstimatesNpArray)
-
 for subgroupIndex in range(NUMBER_OF_SUBGROUPS):
-    plt.imsave(f'{setting}_estimated_prnu_subgroup_{subgroupIndex}.png', (subgroupsIterativeMean[subgroupIndex].mean - minimum) / (maximum - minimum))
+    plt.imsave(f'{setting}_estimated_prnu_subgroup_{subgroupIndex}.png', (subgroupsIterativeMean[subgroupIndex].mean))
 
 plt.title(f'RMS between both subgroups estimated PRNUs with {DENOISER} denoiser for a given number of images among them')
 plt.xlabel('Number of images of each subgroup')