• DocumentCode
    2020209
  • Title

    Multichannel Wiener filters in color image restoration based on AR color image modelling

  • Author

    Angelopoulos, Georgios ; Pitas, Ioannis

  • Author_Institution
    Dept. of Electr. Eng., Thessaloniki Univ., Greece
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    2517
  • Abstract
    Color images are multichannel signals, whereas monochrome images are single-channel signals. Therefore, the extension of techniques used in monochrome digital restoration to color images is not straightforward. The interchannel correlations which exist in color images must be taken into account in the restoration procedure. The design of a multichannel Wiener filter in the frequency domain is presented. The sensitivity of the multichannel Wiener filter to the spectral estimates requires the use of a robust multichannel power spectral estimator. The use of multichannel autoregressive (AR) spectral estimators results in multichannel filters which have excellent performance
  • Keywords
    colour; digital filters; filtering and prediction theory; picture processing; spectral analysis; telecommunication channels; AR color image modelling; autoregressive estimators; color image restoration; digital restoration; frequency domain; interchannel correlations; multichannel Wiener filter; multichannel power spectral estimator; sensitivity; spectral estimates; Additive white noise; Color; Degradation; Digital images; Frequency domain analysis; Image processing; Image restoration; Robustness; Signal restoration; Wiener filter;
  • 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.1991.150913
  • Filename
    150913