• DocumentCode
    3000917
  • Title

    Iterative color image restoration algorithms

  • Author

    Katsaggelos, Aggelos IC ; Paik, Joon K.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
  • fYear
    1988
  • fDate
    11-14 Apr 1988
  • Firstpage
    1028
  • Abstract
    Iterative techniques for restoring colour images are presented. These iterative algorithms have been developed for the restoration of monochromatic images. The colour images are modeled as three spatially related monochromatic images or channels. The interchannel correlation is incorporated into the iterative restoration algorithms in an indirect and in a direct way. Experimental results with simulated and real photographically blurred images are presented. Based on experiments the authors conclude that the incorporation of the interchannel correlation into the algorithms does not necessarily improve the quality of the restored images over the algorithms that ignore the interchannel correlation, but they result in considerable computation savings
  • Keywords
    correlation methods; iterative methods; picture processing; interchannel correlation; iterative colour image restoration algorithms; monochromatic images; photographically blurred images; Color; Colored noise; Computational modeling; Degradation; Digital recording; Error correction; Image restoration; Iterative algorithms; Magnetic separation; Optical noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1988.196768
  • Filename
    196768