• DocumentCode
    2990590
  • Title

    Order filter with progressively decimated filtering window: application to colour image enhancement

  • Author

    Chanussot, Jocelyn

  • Author_Institution
    Signal & Images Lab., LIS/ENSIEG, Saint Martin d´Heres, France
  • Volume
    1
  • fYear
    2004
  • fDate
    24-27 Oct. 2004
  • Firstpage
    255
  • Abstract
    The classical definition of vector order filters consists in selecting the pixel that minimizes the cumulated distance to the other pixels of the filtering window. The "most representative" pixel of the filtering window is then selected and the noise is thus reduced. But, when the filtering window reaches a transition, the result is biased and the smoothing is not optimal any more. The proposed technique consists in progressively decimating the filtering window by suppressing the pixels that maximize the cumulated distance. The process is then iterated (computation of the cumulated distances among the remaining pixels and suppression of the less typical pixels) until one single pixel remains. It is then selected for the filter output. In practical cases, the number of iterations is limited. Applied on colour images, the filter results in an enhancement of the edges and in an automatic registration of the different components. The counterpart is a slight degradation of the smoothing performance in homogeneous regions. The paper details the proposed method and compares it with other enhancement filters.
  • Keywords
    image colour analysis; image denoising; image enhancement; iterative methods; colour image enhancement; component automatic registration; edge enhancement; enhancement filters; filtering window pixels cumulated distance; homogeneous regions smoothing performance degradation; iterative process; noise reduction; progressively decimated filtering window; vector order filters; Degradation; Filtering; Filters; Genetic expression; Image enhancement; Laboratories; Lapping; Noise reduction; Pixel; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2004. ICIP '04. 2004 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-8554-3
  • Type

    conf

  • DOI
    10.1109/ICIP.2004.1418738
  • Filename
    1418738