• DocumentCode
    2018815
  • Title

    Block-adaptive image identification and restoration

  • Author

    Lagendijk, Reginald L. ; Biemond, Jan

  • Author_Institution
    Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    2497
  • Abstract
    A new block-adaptive image identification and restoration method for images degraded by slowly varying blurs is described. Essentially, the proposed method assumes that the blur is stationary within a small subimage, and locally identifies the image and blurs parameters. The iterative expectation-maximization (EM) image identification-restoration algorithm is used in a semi-recursive manner to identify and restore overlapping subimages
  • Keywords
    iterative methods; parameter estimation; picture processing; block adaptive image restoration; block-adaptive image identification; blurs parameters; image identification-restoration algorithm; iterative expectation-maximization; overlapping subimages; parameter identification; slowly varying blurs; stationary blur; Astronomy; Convolution; Degradation; Forensics; Image restoration; Information theory; Iterative algorithms; Linear systems; Pixel; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.150908
  • Filename
    150908