• DocumentCode
    285742
  • Title

    Robust image restoration algorithm using Markov random field model

  • Author

    Bhatt, M.R. ; Desai, U.B.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India
  • Volume
    5
  • fYear
    1992
  • fDate
    10-13 May 1992
  • Firstpage
    2473
  • Abstract
    A new technique is proposed for Bayesian image restoration of a gray level image blurred by an erroneous point spread function and corrupted by white Gaussian noise. The proposed technique is based on the Markov random field model. It has an ability to restore discontinuities. The problem formulation is discussed. The minimization algorithm based on simulated annealing is given. Some simulation results are presented
  • Keywords
    Bayes methods; Markov processes; image reconstruction; simulated annealing; white noise; Bayesian image restoration; Markov random field model; discontinuities; gray level image; minimization algorithm; point spread function; simulated annealing; white Gaussian noise; Additive noise; Bayesian methods; Degradation; Gaussian noise; Image restoration; Markov random fields; Robustness; Signal processing algorithms; Signal restoration; Stochastic resonance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0593-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1992.230485
  • Filename
    230485
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=285742