• DocumentCode
    907885
  • Title

    Digital restoration of multichannel images

  • Author

    Galatsanos, Nikolas P. ; Chin, Roland T.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
  • Volume
    37
  • Issue
    3
  • fYear
    1989
  • fDate
    3/1/1989 12:00:00 AM
  • Firstpage
    415
  • Lastpage
    421
  • Abstract
    The Wiener solution of a multichannel restoration scheme is presented. Using matrix diagonalization and block-Toeplitz to block-circulant approximation, the inversion of the multichannel, linear space-invariant imaging system becomes feasible by utilizing a fast iterative matrix inversion procedure. The restoration uses both the within-channel (spatial) and between-channel (spectral) correlation; hence, the restored result is a better estimate than that produced by independent channel restoration. Simulations are also presented
  • Keywords
    picture processing; Wiener solution; block-Toeplitz to block-circulant approximation; correlation; iterative matrix inversion; matrix diagonalization; multichannel images; picture processing; restoration; space-invariant imaging; Degradation; Image color analysis; Image restoration; Image sensors; Laser radar; Layout; Optical imaging; Optical sensors; Satellites; Signal restoration;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.21708
  • Filename
    21708