• DocumentCode
    1475120
  • Title

    A New Adaptive Switching Median Filter

  • Author

    Akkoul, Smaïl ; Lédée, Roger ; Leconge, Remy ; Harba, Rachid

  • Author_Institution
    Inst. Pluridisciplinaire de Rech. en Ing. des Syst., Mec., Energetique (PRISME), Univ. d´´Orleans, Orleans, France
  • Volume
    17
  • Issue
    6
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    587
  • Lastpage
    590
  • Abstract
    A new Adaptive Switching Median (ASWM) filter for removing impulse noise from corrupted images is presented. The originality of ASWM is that no a priori Threshold is needed as in the case of a classical Switching Median filter. Instead, Threshold is computed locally from image pixels intensity values in a sliding window. Results show that ASWM provides better performance in terms of PSNR and MAE than many other median filter variants for random-valued impulse noise. In addition it can preserve more image details in a high noise environment.
  • Keywords
    adaptive filters; image resolution; image restoration; median filters; adaptive switching median filter; corrupted images; image pixels intensity values; image restoration; random-valued impulse noise removal; sliding window; Detail-preserving; image restoration; impulse noise detection; switching median filter;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2010.2048646
  • Filename
    5451149