• DocumentCode
    1275645
  • Title

    Analysis of the properties of median and weighted median filters using threshold logic and stack filter representation

  • Author

    Yli-Harja, Olli ; Astola, Jaakko ; Neuvo, Yrjö

  • Author_Institution
    Tech. Res. Center of Finland, Helsinki, Finland
  • Volume
    39
  • Issue
    2
  • fYear
    1991
  • fDate
    2/1/1991 12:00:00 AM
  • Firstpage
    395
  • Lastpage
    410
  • Abstract
    The deterministic properties of weighted median (WM) filters are analyzed. Threshold decomposition and the stacking property together establish a unique relationship between integer and binary domain filtering. The authors present a method to find the weighted median filter which is equivalent to a stack filter defined by a positive Boolean function. Because the cascade of WM filters can always be expressed as a single stack filter this allows expression of the cascade of WM filters as a single WM filter. A direct application is the computation of the output distribution of a cascade of WM filters. The same method is used to find a nonrecursive expansion of a recursive WM filter. As applications of theoretical results, several interesting deterministic and statistical properties of WM filters are derived
  • Keywords
    digital filters; filtering and prediction theory; signal processing; threshold logic; binary domain filtering; deterministic properties; filter cascade; integer domain filtering; nonrecursive expansion; output distribution; positive Boolean function; recursive filter; signal processing; stack filter representation; stacking property; statistical properties; threshold decomposition; threshold logic; weighted median filters; Boolean functions; Computer applications; Distributed computing; Image processing; Logic; Morphology; Nonlinear filters; Samarium; Signal analysis; Stacking;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.80823
  • Filename
    80823