• DocumentCode
    1118206
  • Title

    Nonlinear Restoration of Noisy Images

  • Author

    Abramatic, Jean-Francois ; Silverman, Leonard M.

  • Author_Institution
    MEMBER, IEEE, Institut National de Recherche en Informatique et Automatique, Le Chesnay, France.
  • Issue
    2
  • fYear
    1982
  • fDate
    3/1/1982 12:00:00 AM
  • Firstpage
    141
  • Lastpage
    149
  • Abstract
    The restoration of images degraded by an additive white noise is performed by nonlinearly filtering a noisy image. The standard Wiener approach to this problem is modified to take into account the edge information of the image. Various filters of increasing complexity are derived. Experimental results are shown and compared to the standard Wiener filter results and other earlier attempts involving nonstationary filters.
  • Keywords
    Additive white noise; Degradation; Filtering; Image restoration; Low pass filters; Nonlinear distortion; Nonlinear filters; Random processes; Signal restoration; Wiener filter; Image restoration; nonlinear filter; nonlinear restoration;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1982.4767220
  • Filename
    4767220
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1118206