• DocumentCode
    345957
  • Title

    Image restoration using quantum fluctuation

  • Author

    Inoue, Jun-ichi

  • Author_Institution
    Dept. of Phys., Tokyo Inst. of Technol., Japan
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    130
  • Lastpage
    135
  • Abstract
    Quantum fluctuation is introduced into the Markov random field (MRF) model for image restoration in the context of a Bayesian approach. We investigate the dependence of the quantum fluctuation on the quality of BW image restoration by making use of statistical mechanics. We find that the maximum posterior marginal (MPM) estimate based on the quantum fluctuation gives a fine restoration in comparison with the maximum a posterior (MAP) estimate or the thermal fluctuation-based MPM estimate
  • Keywords
    Bayes methods; Markov processes; image restoration; maximum likelihood estimation; statistical mechanics; Bayesian approach; Markov random field; image quality; image restoration; maximum posterior marginal estimate; quantum fluctuation; statistical mechanics; Fluctuations; Image restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Processing, 1999. Proceedings. International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    0-7695-0040-4
  • Type

    conf

  • DOI
    10.1109/ICIAP.1999.797583
  • Filename
    797583
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=345957