• DocumentCode
    3783366
  • Title

    Multichannel blind deconvolution of the short-exposure astronomical images

  • Author

    F. Sroubek;J. Flusser;T. Suk;S. Simberova

  • Author_Institution
    Inst. of Inf. Theory & Autom., Acad. of Sci. of the Czech Republic, Praha, Czech Republic
  • Volume
    3
  • fYear
    2000
  • Firstpage
    49
  • Abstract
    We present a multichannel blind deconvolution method based on so-called subspace technique that was originally proposed by Harikumar and Bresler (1996, 1999). When at least two differently degraded images (channels) of the original scene are provided, the method is better conditioned than classical single channel ones. In comparison with earlier multichannel blind deconvolution techniques the subspace method is not iterative and this possibly implies an implementation that can be computationally more efficient. An application of the proposed method to the restoration of the images of sunspots is presented.
  • Keywords
    "Deconvolution","Image restoration","Degradation","Layout","Iterative algorithms","Filters","Telescopes","Image resolution","Atmospheric waves","Atmospheric modeling"
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.903484
  • Filename
    903484