Comparative Study on Removal of Salt and Pepper Noise for Various Images by Using Median Filters: A Review
P. Sreenivasulu, N. Krishna Chaitanya · CiiT international journal of digital image processing · 2014
This paper exploits the removal of salt & pepper noise by using various Median filters for various test images. It gives a better idea and analysis for different Median filter algorithms for the restoration of various gray scale images that are corrupted by salt and pepper noise. Here, we are comparing the performance of different Median filters such as Standard Median Filter (MF), Adaptive Median Filter (AMF), Adaptive Weighted Algorithm (AWA), Switching Median Filter (SMF), Decision Based Algorithm (DBA), Modified Decision Based Unsymmetric Trimmed Median Filter (MDBUTMF) and their quality parameters as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) is used to compare the performance of different Median filters for different images