A new filter for color images corrupted by impulse noise

Yueyang Li, Bin Han, Shitong Wang, Fu Lai Korris Chung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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.
Original languageEnglish
Title of host publicationProceedings - Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
Pages214-220
Number of pages7
Volume4
DOIs
Publication statusPublished - 1 Dec 2007
Event4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007 - Haikou, China
Duration: 24 Aug 200727 Aug 2007

Conference

Conference4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
CountryChina
CityHaikou
Period24/08/0727/08/07

Keywords

  • Color image processing
  • Impulse noise
  • Multi-channel filter
  • Neuro-fuzzy network

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Applied Mathematics
  • Theoretical Computer Science

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