• DocumentCode
    456662
  • Title

    An Improved Multiscale Maximum Entropy Image Restoration Algorithm

  • Author

    Wu Lehua ; Sun Jing

  • Author_Institution
    Signal & Inf. Process., Chongqing Commun. Inst.
  • Volume
    1
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    640
  • Lastpage
    643
  • Abstract
    Based on multiscale maximum entropy method for image restoration proposed by Starch, an improved method is proposed in this paper. In this method, an adaptive threshold that is computationally more efficient is proposed for spatial filtering. And the choosing of regularization parameter is also developed for any image. Computer simulations show that the improved algorithm is better for image restoration
  • Keywords
    filtering theory; image restoration; maximum entropy methods; adaptive threshold; computer simulation; image restoration; multiscale maximum entropy method; regularization parameter; spatial filtering; Additive noise; Deconvolution; Degradation; Entropy; Image restoration; Information processing; Signal processing; Wavelet coefficients; Wavelet domain; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.51
  • Filename
    1691881
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=456662