• DocumentCode
    1138579
  • Title

    Improved Methods of Maximum a Posteriori Restoration

  • Author

    Trussell, H.J. ; Hunt, B.R.

  • Author_Institution
    Los Alamos Scientific Laboratory, University of California
  • Issue
    1
  • fYear
    1979
  • Firstpage
    57
  • Lastpage
    62
  • Abstract
    An improved numerical solution method for maximum a posteriori image restoration is presented. Results of the use of this method are shown to be superior to previous MAP restorations and equal or better than some common linear restorations. A natural convergence criterion is defined and shown to be a good indicator of restoration quality. The effects of the parameters of the MAP restorations are discussed.
  • Keywords
    Bayesian estimation; image restoration; nonlinear processing of images; numerical methods; optimization theory; quality of restoration; Additive noise; Density measurement; Equations; Image restoration; Layout; Mathematical model; Measurement units; Noise measurement; Optimization methods; Photography; Bayesian estimation; image restoration; nonlinear processing of images; numerical methods; optimization theory; quality of restoration;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/TC.1979.1675223
  • Filename
    1675223
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1138579