Removal of Salt and Pepper Noise Using Advanced Modified Decision Based Unsymmetric Trimmed Median Filter

In this paper we are presenting a novel approach for removal of salt and pepper noise from the high density salt & pepper noisy images, using Iterative Modified Decision based Unsymmetric Trimmed Median Filter. The existing MDBUTMF is unable to restore the original image from the noisy one if noise density is more than 70%. The performance of the proposed method is analyzed by using various qualities of metrics, such as Mean Square Error (MSE) and Peak Signal to Noise ratio (PSNR). Simulation results clearly show that the proposed method is out performs both in qualitative as well quantitative fidelity criteria, when it is compared with MDBUTMF.