• DocumentCode
    827593
  • Title

    Markov image modeling

  • Author

    Woods, John W.

  • Author_Institution
    Rensselaer Polytechnic Institute, Troy, NY, USA
  • Volume
    23
  • Issue
    5
  • fYear
    1978
  • fDate
    10/1/1978 12:00:00 AM
  • Firstpage
    846
  • Lastpage
    850
  • Abstract
    The theory of two-dimensional spectral factorization is reviewed in the context of recursive modeling. The role of the Markov random field in recursive image modeling is then presented. Since spectral factorization in two or higher dimensions generally results in infinite-order factors, it is necessary to perform Markov modeling after spectral factorization. The above concepts are then applied to the problem of Kalman filtering of images.
  • Keywords
    Image processing; Kalman filtering; Markov processes; Recursive estimation; Spectral factorizations; Context modeling; Data compression; Filtering; Image processing; Kalman filters; Markov random fields; Maximum likelihood detection; Nonlinear filters; Signal processing; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1978.1101866
  • Filename
    1101866
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=827593