• DocumentCode
    1955149
  • Title

    Some theory of multistage order statistic filters

  • Author

    Boncelet, Charles G., Jr. ; Hakami, R. ; Warter, P.J.

  • Author_Institution
    Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
  • fYear
    1989
  • fDate
    14-16 Aug 1989
  • Firstpage
    59
  • Abstract
    The removal of noise by a class of order statistic filters, called multistage order statistic filters or multiwindow filters, is described. These filters take `ranks of ranks´. A new filter type is defined and its equivalence under special circumstances to a filter defined in the literature is shown. This filter´s deterministic and statistical properties are explored. This filter is believed to be the best available for smoothing high signal-to-noise ratio images
  • Keywords
    filtering and prediction theory; picture processing; random noise; deterministic properties; equivalence; filter type; multistage order statistic filters; multiwindow filters; noise; signal-to-noise ratio images; statistical properties; Digital filters; Digital images; Filtering theory; Gaussian noise; Noise level; Nonlinear filters; Signal processing; Signal to noise ratio; Smoothing methods; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
  • Conference_Location
    Champaign, IL
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1989.101794
  • Filename
    101794
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1955149