Comparative Analysis of Different Algorithm for Removal of High Density Salt and Pepper Noise

This paper proposes comparison of different types of non-linear filter like median-type noise detector and edge preserving method, new decision based algorithm (DBA), new algorithm with modified shear sorting method and modified decision based un-symmetric trimmed median(MDBUTM) Filters used for restoration of the image containing high density salt and pepper noise as high as 90%. The results of different algorithms are compared to get the best method to achieve better peak signal-to-noise ratio (PSNR), image enhancement factor (IEF) and less computation time. Different algorithms are studied on different window size to find better results in terms of the qualitative and quantitative measures of the image.