RM-estimators for Sequence Image Filtering

In this paper we present the capability feature of Median M-type KNN and Wilcoxon M-type KNN filters for the removal of impulsive noise in image processing applications. Extensive simulation results in reference images have demonstrated that the proposed filters consistently could outperform other nonlinear filters by balancing the tradeoff between noise suppression and detail preservation. The criterions used to compare performance were the PSNR and MAE. We also simulated impulsive corrupted image sequences to demonstrate that the proposed methods potentially could provide a solution to quality TV/Video Transmission.