• DocumentCode
    2634110
  • Title

    A Bayesian approach to image restoration

  • Author

    Wrangsjö, Andreas ; Borga, Magnus ; Knutsson, Hans

  • Author_Institution
    Dept. of Biomedical Eng., Linkoping Univ., Sweden
  • fYear
    2004
  • fDate
    15-18 April 2004
  • Firstpage
    764
  • Abstract
    A method for reducing additive noise in images by explicit analysis of local image statistics is introduced and compared to other noise reduction methods. The proposed method, which makes use of an a priori noise model, has been evaluated on artificial and real (MRI) image data.
  • Keywords
    Bayes methods; biomedical MRI; image denoising; image restoration; medical image processing; Bayesian approach; a priori noise model; additive noise reduction; artificial MRI image data; image restoration; local image statistics; real MRI image data; Additive noise; Bayesian methods; Biomedical engineering; Biomedical informatics; Image restoration; Low pass filters; Noise reduction; Statistics; Stochastic processes; Stochastic resonance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8388-5
  • Type

    conf

  • DOI
    10.1109/ISBI.2004.1398650
  • Filename
    1398650
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2634110