• DocumentCode
    1024875
  • Title

    A Note on Image Restoration Using C_{p} and MSE

  • Author

    Seghouane, Abd-Krim

  • Author_Institution
    Australian Nat. Univ., Canberra
  • Volume
    15
  • fYear
    2008
  • fDate
    6/30/1905 12:00:00 AM
  • Firstpage
    61
  • Lastpage
    64
  • Abstract
    Image restoration necessitates the choice of a regularization parameter that controls the trade-off between fidelity to the blurred noisy observed image and the smoothness of the restored image. The choice of this parameter for which several estimators have been proposed is crucial for the quality of the restored image. In this letter, two estimators for choosing the regularization parameter are proposed. One is a simple closed-form approximation to the minimum of the selection criterion, and the other is an approximation to the minimum of a mean squared error (MSE)-based criterion.
  • Keywords
    image restoration; mean square error methods; blurred noisy image; closed-form approximation; image quality; image restoration; image smoothness; mean squared error estimation; regularization parameter estimation; Art; Australia Council; Degradation; Filters; Image restoration; Information technology; Least squares approximation; Mean square error methods; Radar imaging; Ultrasonic imaging; $C_{p}$; image restoration; mean square error; regularization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2007.910237
  • Filename
    4418408