A decision based asymmetrically trimmed modified winsorized median filter for the removal of salt and pepper noise in images and videos

A decision based asymmetrically trimmed Winsorized median for the removal of salt and pepper noise in images and videos is proposed. The proposed filter initially classifies the pixels as noisy and non noisy and later replaces the noisy pixels with asymmetrically trimmed modified winsorized median leaving the non noisy pixels unaltered. Exhaustive experiments were conducted on standard image database and the performance of the proposed filter was evaluated in terms of both quantitative and qualitatively with existing algorithm. It was found that the proposed algorithm was found to exhibit excellent noise suppression capabilities by preserving the fine information of the image even at higher noise densities. The performance of the proposed filter was found good even for videos.