Impulsive Noise Suppression from Images by Using Anfis Interpolant and Lillietest

Abstract

A new impulsive noise (IN) elimination filter, entitled adaptive neuro-fuzzy inference system-based IN removal filter (Anfis-F), which shows high performance at the restoration of images distorted by IN, is proposed in this paper. The Anfis-F comprises three main steps: finding the pixels that are suspected to be corrupted, the Delaunay triangulation, and finally, making estimation for intensity values of corrupted pixels within each of the Delaunay triangles. Extensive simulation results show that the proposed filter achieves better performance than other filters mentioned in this paper in the cases of being effective in noise suppression and detail preservation, especially when the noise density is very high.