• DocumentCode
    3625923
  • Title

    Fully Bayesian Image Separation using Markov Chain Monte Carlo

  • Author

    Koray Kayabol;Ercan E. Kuruoglu;Bulent Sankur

  • Author_Institution
    ?stanbul ?niversitesi, M?hendislik Fak?ltesi, Elektrik-Elektronik M?hendisli?i B?l?m?, 34320, Avcilar, ?stanbul. kayabol@istanbul.edu.tr
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this study, we investigate the image separation problem under noisy environments. In the definition of the problem, the Bayesian approach is considered. We present a fully stochastic method based on Markov chain Monte Carlo (MCMC), instead of other deterministic methods, used in Bayesian image separation.
  • Keywords
    "Bayesian methods","Monte Carlo methods","Gaussian processes","Working environment noise","Stochastic processes"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
  • ISSN
    2165-0608
  • Print_ISBN
    1-4244-0719-2
  • Type

    conf

  • DOI
    10.1109/SIU.2007.4298718
  • Filename
    4298718
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3625923