• 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