DocumentCode
699600
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
fYear
2004
fDate
6-10 Sept. 2004
Firstpage
433
Lastpage
436
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2004 12th European
Conference_Location
Vienna
Print_ISBN
978-320-0001-65-7
Type
conf
Filename
7080130
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