diff --git a/datasets/raise/split_and_compare_prnus_of_subgroups.py b/datasets/raise/split_and_compare_prnus_of_subgroups.py
index 68ef827..567fb36 100755
--- a/datasets/raise/split_and_compare_prnus_of_subgroups.py
+++ b/datasets/raise/split_and_compare_prnus_of_subgroups.py
@@ -18,6 +18,8 @@ NUMBER_OF_SUBGROUPS = 2
 DENOISER = 'wavelet'
 IMAGES_FOLDER = 'flat-field/TIF'
 
+setting = IMAGES_FOLDER.replace('/', '_') + f'_{DENOISER}'
+
 imagesFileNames = os.listdir(IMAGES_FOLDER)
 # To not have a bias (chronological for instance) when split to make subgroups.
 shuffle(imagesFileNames)
@@ -46,10 +48,11 @@ minimum = np.min(mostImagesSubgroupPrnuEstimatesNpArray)
 maximum = np.max(mostImagesSubgroupPrnuEstimatesNpArray)
 
 for subgroupIndex in range(NUMBER_OF_SUBGROUPS):
-    plt.imsave(f'prnu_subgroup_{subgroupIndex}.png', (subgroupsIterativeMean[subgroupIndex].mean - minimum) / (maximum - minimum))
+    plt.imsave(f'{setting}_estimated_prnu_subgroup_{subgroupIndex}.png', (subgroupsIterativeMean[subgroupIndex].mean - minimum) / (maximum - minimum))
 
 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')
 plt.ylabel('RMS between both subgroups estimated PRNUs')
 plt.plot(rmss)
-plt.show()
\ No newline at end of file
+plt.savefig(f'{setting}_rms_between_estimated_prnu_of_2_subgroups.svg')
+#plt.show()