• DocumentCode
    1217278
  • Title

    Convergence properties of median and weighted median filters

  • Author

    Zeng, Bing

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong
  • Volume
    42
  • Issue
    12
  • fYear
    1994
  • fDate
    12/1/1994 12:00:00 AM
  • Firstpage
    3515
  • Lastpage
    3518
  • Abstract
    It has been shown that assuming the first and last value carry-on appending strategy, a finite number of passes of the same median filter to an arbitrary signal of finite length results in a root signal that will be invariant to additional filtering passes. This so-called convergence property is reproven using an extremely simple approach. In addition, the well-known idempotent property (i.e., where convergence is achieved with only one filtering pass) of a recursive median filter is reproven similarly, and the convergence behavior of weighted median filters is studied
  • Keywords
    convergence of numerical methods; filtering theory; median filters; recursive filters; convergence properties; convergence property; finite length signal; idempotent property; median filters; recursive median filter; root signal; weighted median filters; Associative memory; Convergence; Filtering; Filters; Image processing; Neural networks; Signal processing; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.340786
  • Filename
    340786