High density impulse noise removal in RGB images using Lone Diagonal Sorting algorithm

Noise removal is an important task in image processing. In this paper we present a novel and efficient algorithm in order to effectively remove noise from color images corrupted by impulse noise. Experimental results show the superior performance of the proposed filtering algorithm compared to the other standard algorithms such as Standard Median Filter (SMF), Median Filter (MF) and Weighted Median Filter (WMF). Furthermore, various parameters with respect to the image such as the MSE and PSNR have been calculated. The computational time for the denoised image is calculated for different noise levels.