A decision based unsymmetrical trimmed modified winsorized variants for the removal of high density salt and pepper noise in images and videos

Abstract

A Decision Based Unsymmetrical trimmed modified Winsorized Variants for the removal of high density salt and pepper noise in images and videos is proposed. The algorithm initially checks for fixed outliers (0 or 255) in the images in a fixed 3x3 neighbourhood. If the processed pixel is an outlier then 4 neighbours are checked for noise. If all 4 neighbours are noisy then mean of 4 neighbours replaces the corrupted pixel. If 4 neighbours are not noisy then number of non noisy pixels is used to replace the corrupted pixel either with unsymmetrical trimmed modified Winsorized median or midpoint. The processed pixel is left unaltered if the pixel does not hold the outliers. The exhaustive experiments on standard database images and videos indicate that the DBUTMWV algorithm has good noise elimination capabilities with excellent information preservation characteristics even at very high noise densities.