• DocumentCode
    3246365
  • Title

    Wiener Filter for Isotropic Signal Fields

  • Author

    Arora, Raman ; Parthasarathy, Harish

  • Author_Institution
    Univ. of Wisconsin-Madison, Madison
  • fYear
    2007
  • fDate
    4-7 Nov. 2007
  • Firstpage
    540
  • Lastpage
    544
  • Abstract
    The images of a three dimensional scene taken at varying depths are regarded as reference stochastic processes on the unit sphere to formulate the normal equations for estimating the image at any given depth. These comprise a set of coupled linear integral equations on the unit sphere for the filter bank. The coefficient functions of these equations are the scene correlations which are assumed to be known. By exploiting properties of the action of the rotation group on the unit sphere, this set of coupled integral equations is converted into a set of Wiener-Hopf convolutional integral equations on the rotation group. These are solved using the Peter-Weyl theory of the Fourier transform on the rotation group.
  • Keywords
    Fourier transforms; Wiener filters; image processing; integral equations; stochastic processes; Fourier transform; Wiener filter; Wiener-Hopf convolutional integral equations; isotropic signal fields; linear integral equations; reference stochastic processes; three dimensional scene; Cameras; Convolution; Humans; Integral equations; Layout; Neurons; Noise reduction; Robot vision systems; Visual system; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2109-1
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2007.4487271
  • Filename
    4487271