• DocumentCode
    1678585
  • Title

    Statistical image restoration based on adaptive wavelet models

  • Author

    Liu, Juan ; Moulin, Pierre

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    2
  • fYear
    2001
  • Firstpage
    21
  • Abstract
    We propose image restoration algorithms based on adaptive wavelet-domain statistical models. We present a method to estimate the model parameters from the observations, and solve the restoration problem in orthonormal and translation-invariant wavelet domains. Substantial improvements over previous wavelet-based restoration methods are obtained. The use of a translation-invariant basis further enhances the restoration performance
  • Keywords
    adaptive estimation; image restoration; parameter estimation; statistical analysis; wavelet transforms; adaptive wavelet models; image restoration; model parameter estimation; performance; statistical models; translation-invariant basis; AWGN; Additive white noise; Degradation; Gaussian noise; Image restoration; Laplace equations; Noise reduction; Wavelet coefficients; Wavelet domain; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.958414
  • Filename
    958414
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1678585