Title :
Nonparametric technique of impulsive noise removal
Author :
Smolka, B. ; Budzan, S. ; Venetsanopoulos, A.N. ; Lukac, R.
Author_Institution :
Dept. of Autom. Control, Silesian Univ. of Technol., Gliwice, Poland
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.
Keywords :
filtering theory; image colour analysis; image denoising; probability; color images; impulsive noise removal; nonparametric density probability function estimation; nonparametric technique; sliding filter window; structure preserving properties; Estimation; Vectors;
Conference_Titel :
Signal Processing Conference, 2004 12th European
Conference_Location :
Vienna
Print_ISBN :
978-320-0001-65-7
