• DocumentCode
    2346012
  • Title

    Modeling Gauss Markov random fields at multiple resolutions

  • Author

    Krishnamachari, Santhana ; Chellappa, Rama

  • Author_Institution
    Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
  • fYear
    1994
  • fDate
    27-29 Oct 1994
  • Firstpage
    90
  • Abstract
    A multiresolution model for Gauss Markov random fields (GMRF) is presented. Based on information theoretic measures, techniques are presented to estimate the GMRF parameters of a process at coarser resolutions from the parameters at fine resolution
  • Keywords
    Markov processes; image processing; random processes; coarser resolutions; computer vision; fine resolution; image processing; information theoretic measures; modeling Gauss Markov random fields; multiple resolutions; statistical techniques; Computer vision; Educational institutions; Gaussian processes; Image processing; Image resolution; Lattices; Markov random fields; Parameter estimation; Random variables; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
  • Conference_Location
    Alexandria, VA
  • Print_ISBN
    0-7803-2761-6
  • Type

    conf

  • DOI
    10.1109/WITS.1994.513917
  • Filename
    513917
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2346012