• DocumentCode
    3265675
  • Title

    H deconvolution filter design and its application in image restoration

  • Author

    Yu, Xianggang ; Hsu, Chin S. ; Bamberger, Roberto H.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    4
  • fYear
    1996
  • fDate
    11-13 Dec 1996
  • Firstpage
    4802
  • Abstract
    This paper addresses the design of an H deconvolution filter and its application to image restoration. The proposed H deconvolution filter has some advantages for image restoration in its capability of handling unknown boundary problems and spatially varying blurs. In this paper, the H filter is compared with the inverse Wiener filter and a regularized restoration method. The experimental results show that the H filter deals with the unknown boundary problem better than the Wiener filter. Compared with the regularization method, it gives a sharper restored image, especially, when the original image contains many details
  • Keywords
    Wiener filters; deconvolution; filtering theory; image restoration; H deconvolution filter; image restoration; inverse Wiener filter; regularized restoration method; spatially varying blurs; unknown boundary problem; Deconvolution; Image restoration; Information filtering; Information filters; Integrated circuit noise; Linear matrix inequalities; Noise measurement; Riccati equations; State estimation; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
  • Conference_Location
    Kobe
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-3590-2
  • Type

    conf

  • DOI
    10.1109/CDC.1996.577688
  • Filename
    577688