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 :
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