DocumentCode
2426109
Title
A New Filter for Color Images Corrupted by Impulse Noise
Author
Li, Yueyang ; Han, Bin ; Wang, Shitong ; Chung, Fulai
Author_Institution
Southern Yangtze Univ., Wuxi
Volume
4
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
214
Lastpage
220
Abstract
Based on an integration of a simple impulse detector and a robust neuro-fuzzy (RNF) network, a new effective filter for color images corrupted by impulse noise is presented in this paper. There are two distinctive properties of the proposed method. The first is the use of a simple impulse detector. The other is the use of a novel membership function in the design of the adaptive RNF network, making the network robust to impulse noise. Extensive simulation results indicate that the proposed filter not only has the ability of noise attenuation but also has desirable robustness.
Keywords
filtering theory; fuzzy neural nets; image colour analysis; impulse noise; learning (artificial intelligence); adaptive RNF network design; color images; impulse detector; impulse noise filtering; membership function; robust neuro-fuzzy network; training procedure; Attenuation; Color; Colored noise; Detectors; Filtering; Filters; Fuzzy neural networks; Noise robustness; Pixel; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.74
Filename
4406384
Link To Document