• DocumentCode
    1691511
  • Title

    Generically sufficient conditions for exact multichannel blind image restoration

  • Author

    Pai, Hung-Ta ; Havlicek, John W. ; Bovik, Alan C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • Volume
    5
  • fYear
    1998
  • Firstpage
    2861
  • Abstract
    We have previously developed an algorithm and sufficient conditions for exact multichannel blind image restoration. In this paper, we use the resultant matrix theorem and techniques of algebraic geometry to prove that the sufficient conditions hold generically given three blurred versions of the same image and some restrictions on the size of the original image. Moreover, the extension to multichannel blind n-dimensional signal restoration is described
  • Keywords
    image restoration; matrix algebra; algebraic geometry; algorithm; blurred image; exact multichannel blind image restoration; generically sufficient conditions; image size; matrix theorem; Geometry; Image restoration; Laboratories; Machine vision; Noise figure; Polynomials; Signal restoration; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-4428-6
  • Type

    conf

  • DOI
    10.1109/ICASSP.1998.678122
  • Filename
    678122
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1691511