NONPARAMETRIC TECHNIQUE OF IMPULSIVE NOISE REMOVAL (TuePmOR6)

Author(s) : Bogdan Smolka (Silesian University of Technology, Poland) Sebastian Budzan (Silesian University of Technology, Poland) Anastasios Venetsanopoulos (University of Toronto, Canada) Rastislav Lukac (University of Toronto, Canada)

Abstract : In this paper a novel class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter class is based on the nonparametric estimation of the density probability function in a sliding filter window. The obtained results show good noise removal capabilities and excellent structure preserving properties of the new impulsive noise removal technique.

Menu