Update image_denoising_QAB.m

SayantanDutta95 · Jan 19, 2021 · 7f2cf4f · 7f2cf4f
1 parent daaa9d9
commit 7f2cf4f
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/Image/image_denoising_QAB.m b/Image/image_denoising_QAB.m
@@ -1,6 +1,6 @@
 % Sample code of the paper:
 % 
-% Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé.
+% Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé.
 % "Quantum mechanics-based signal and image representation: application to denoising." 
 % arXiv preprint arXiv:2004.01078 (2020).
 % 
@@ -15,7 +15,7 @@
 % Here one may think why we need I as input, since I is the clean image.
 % Actually in the program, the clean image data I is used just to find out the 
 % best thresholding hyperparameter. In the code, one can see that the clean 
-% image I is only used just for the computation of signal-to-noise-ratio (SNR) 
+% image I is only used for the computation of signal-to-noise-ratio (SNR) 
 % and based on this one can tune the best thresholding hyperparameter.
 % So, one does not need any knowledge about the clean image I for computing
 % the quantum adaptive basis (QAB) and can tune the thresholding hyperparameter
@@ -132,4 +132,4 @@
 
 I_result = J_new;
 
-end
+end