• DocumentCode
    294856
  • Title

    H deconvolution filter design and its application in image restoration

  • Author

    Yu, X. ; Hsu, C.S. ; Bamberger, R.H. ; Reeves, S.J.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    4
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    2611
  • Abstract
    This paper addresses the use of H filtering to deconvolution, in particular, to the problem of image restoration. The proposed H deconvolution filter has some advantages in the image restoration such as it can deal with unknown boundary problem and spatially varying blurs. The H filter is compared with the inverse Wiener filter and a regularized restoration. 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
    H optimisation; Wiener filters; deconvolution; filtering theory; image restoration; H deconvolution filter design; experimental results; image restoration; inverse Wiener filter; regularized restoration; spatially varying blurs; unknown boundary problem; Additive noise; Deconvolution; Filtering; H infinity control; Image restoration; Noise robustness; Stochastic resonance; Time varying systems; Uncertainty; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.480096
  • Filename
    480096