• DocumentCode
    1963261
  • Title

    An Impulse Noise Image Filter Using Fuzzy Sets

  • Author

    Zhong-gui, Sun ; Jie, Chen ; Guang-wu, Meng

  • Author_Institution
    Coll. of Math. Sci., Liaocheng Univ., Liaocheng
  • fYear
    2008
  • fDate
    23-25 May 2008
  • Firstpage
    183
  • Lastpage
    186
  • Abstract
    The successful application of fuzzy set theory operators on several domains, along with the increasing need for processing digital images, have been the main motives behind the efforts concentrated on fuzzy sets. Fuzzy set theory, comparing with some other theories, can provide us with knowledge-based and robust tools for image processing. By computing the fuzziness of the pixelspsila corrupted degree and taking corresponding filter parameters, a new image filter for impulse noise is presented in this paper. Comparing with the median filter, which is excellent for impulse noise, this new filter is more effective. In the end,simulation results show that the new algorithm is feasible.
  • Keywords
    filtering theory; fuzzy set theory; image denoising; impulse noise; median filters; fuzzy sets; impulse noise image filter; median filter; pixel corrupted degree fuzziness; Fuzzy set theory; Fuzzy sets; Image processing; Information filtering; Information filters; Information processing; Noise robustness; Noise shaping; Pixel; Shape; Digital Images; Fuzzy sets; Impulse Noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing (ISIP), 2008 International Symposiums on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-0-7695-3151-9
  • Type

    conf

  • DOI
    10.1109/ISIP.2008.52
  • Filename
    4554081