• DocumentCode
    1918188
  • Title

    Wiener Filtering by the Radial Power Density Function for Circularly Symmetric Blurs

  • Author

    Baran, Mehmet

  • Author_Institution
    Dept. of Comput. Eng., Marmara Univ., Istanbul
  • Volume
    2
  • fYear
    2005
  • fDate
    21-24 Nov. 2005
  • Firstpage
    975
  • Lastpage
    978
  • Abstract
    It is well known that the Wiener filter is the L2-optimal linear filter for image reconstruction. It is not possible to use it in practical situations, as its exact construction requires a priori information. In this article we propose a simple approximation to the Wiener filter valid for circularly symmetric blurs which circumvents this requirement. The performance of this approximation is shown to be close to the exact case and better than the optimally constructed (in the L2 sense) Tikhonov filter
  • Keywords
    Wiener filters; approximation theory; filtering theory; image reconstruction; L2-optimal linear filter; Wiener filtering; circularly symmetric blurs; image reconstruction; radial power density function; Additive white noise; Cost function; Density functional theory; Equations; Image reconstruction; Layout; Nonlinear filters; Power engineering and energy; Power engineering computing; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer as a Tool, 2005. EUROCON 2005.The International Conference on
  • Conference_Location
    Belgrade
  • Print_ISBN
    1-4244-0049-X
  • Type

    conf

  • DOI
    10.1109/EURCON.2005.1630110
  • Filename
    1630110