diff --git a/articles/RAISE - The Raw Images Dataset/RAISE - The Raw Images Dataset.pdf.txt b/articles/RAISE - The Raw Images Dataset/RAISE - The Raw Images Dataset.pdf.txt
new file mode 100644
index 0000000..8811bd6
--- /dev/null
+++ b/articles/RAISE - The Raw Images Dataset/RAISE - The Raw Images Dataset.pdf.txt	
@@ -0,0 +1 @@
+https://web.archive.org/web/20200716082639/http://loki.disi.unitn.it/RAISE/index.php
diff --git a/articles/RAISE - The Raw Images Dataset/RAISE - The Raw Images Dataset.xopp.xml b/articles/RAISE - The Raw Images Dataset/RAISE - The Raw Images Dataset.xopp.xml
new file mode 100644
index 0000000..f4b1be2
--- /dev/null
+++ b/articles/RAISE - The Raw Images Dataset/RAISE - The Raw Images Dataset.xopp.xml	
@@ -0,0 +1,8 @@
+<?xml version="1.0" standalone="no"?>
+<xournal creator="Xournal++ 1.1.3" fileversion="4">
+  <title>Xournal++ document - see https://github.com/xournalpp/xournalpp</title>
+  <page width="596.00000000" height="842.00000000">
+    <background type="pdf" domain="absolute" filename="/home/benjamin/Desktop/bens_folder/school/ens/asp/aria/internship/work/articles/RAISE - The Raw Images Dataset/RAISE - The Raw Images Dataset.pdf" pageno="1"/>
+    <layer/>
+  </page>
+</xournal>
diff --git a/datasets/noise_free_test_images/estimate_prnu.py b/datasets/noise_free_test_images/estimate_prnu.py
index b378696..932f1df 100644
--- a/datasets/noise_free_test_images/estimate_prnu.py
+++ b/datasets/noise_free_test_images/estimate_prnu.py
@@ -69,13 +69,13 @@ for splitNXNIndex, splitNXN in enumerate(SPLIT_N_X_N_S):
                     axis[0].set_title('First image without noise')
                     axis[0].imshow(imageWithoutPrnuNpArrayTile)
 
-                    axis[1].set_title('Actual Gaussian noised (G.n.) PRNU')
+                    axis[1].set_title('Actual Gaussian noised PRNU')
                     axis[1].imshow(prnuNpArray)
 
-                    axis[2].set_title('F. image with G.n.')
+                    axis[2].set_title('F. i. with G. n.')
                     axis[2].imshow(imageWithoutPrnuNpArray + imageNoise)
 
-                    axis[3].set_title('F. image with G.n. and PRNU')
+                    axis[3].set_title('F. i. with G. n. and PRNU')
                     axis[3].imshow(imageWithoutPrnuNpArray + prnuNpArray + imageNoise)
                 isFirstImage = False