“…An impulsive noise model is also used for faulty bits during coding and transmission or for video scanned from damaged films. To remove meaningless noise information, while preserving fine image details, a large variety of nonlinear filtering methods [2,3,4,5,6,7,8,9,10,11,12] have been proposed in literature since conventional linear filters are known to blur the images. They typically involve weighted averaging masks in case of Gaussian noise or order-statistic filtering in case of impulsive one.…”