TY - JOUR
T1 - Performance Evaluation of various Image De-noising Techniques
AU - Gurmeet Kaur and Jagroop Singh
JO - Journal of Information and Computing Science
VL - 1
SP - 013
EP - 026
PY - 2024
DA - 2024/01
SN - 8
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22625.html
KW -  Gaussian  noise,  Salt  &  Pepper  noise,  Speckle  noise,  Average  filter,  Wiener  filter,  Gaussian 
Filter, Median filter, Wavelet transform. 

AB -  The  process  of  removing  noise  from  the  original  image  is  still  a  demanding  problem  for 
researchers.  There  have  been  several  algorithms  and  each  has  its  assumptions,  merits,  and  demerits.  The 
prime focus of this paper is related to the pre processing of an image before it can be used in applications. 
The pre processing is done by de-noising of images. In order to achieve these de-noising algorithms, filtering 
approach and wavelet based approach are used and performs their comparative study. Different noises such 
as  Gaussian  noise,  salt  and  pepper  noise,  speckle  noise  are  used.  The  wavelet  based  approach  has  been 
proved to be the best in de-noising images corrupted with Gaussian noise, salt and pepper noise and speckle 
noise  A quantitative  measure of comparison is provided by the parameters like Peak signal to noise ratio, 
Root mean square error, Entropy and Correlation of the image.