• DocumentCode
    3297342
  • Title

    Fuzzy filters for image filtering

  • Author

    Kwan, H.K. ; Cai, Y.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Windsor Univ., Ont., Canada
  • Volume
    3
  • fYear
    2002
  • fDate
    4-7 Aug. 2002
  • Abstract
    In this paper, four fuzzy filters for filtering images contaminated with random, impulse, and sum of random and impulse noises are introduced. In each of these four fuzzy filters, the output pixel of a filtered image at the center of a moving window area is defined as a normalized sum of weighted input pixels within the window. Simulation results indicate that some of these fuzzy filters show improvement over the standard median and moving average filters in reducing these three noises.
  • Keywords
    filtering theory; fuzzy set theory; image denoising; image enhancement; impulse noise; random noise; filtered image; fuzzy filters; image filtering; impulse noise; moving window area; random noise; weighted input pixels; Attenuation; Filtering; MONOS devices; Noise reduction; Nonlinear filters; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on
  • Print_ISBN
    0-7803-7523-8
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2002.1187129
  • Filename
    1187129