• DocumentCode
    1445502
  • Title

    Image restoration using recursive Markov random field models driven by Cauchy distributed noise

  • Author

    Chang, Yuh-Chin ; Kadaba, Srinivas R. ; Doerschuk, Peter C. ; Gelfand, Saul B.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    8
  • Issue
    3
  • fYear
    2001
  • fDate
    3/1/2001 12:00:00 AM
  • Firstpage
    65
  • Lastpage
    66
  • Abstract
    A recursive restoration algorithm based on a Markov random field model driven by Cauchy noise is described and demonstrated to provide better edge preservation than similar algorithms using Gaussian or Laplacian noises without increased computational cost.
  • Keywords
    Markov processes; autoregressive processes; image restoration; random noise; recursive estimation; recursive filters; Cauchy distributed noise; Cauchy noise; Markov random field models; edge preservation; image restoration; recursive restoration algorithm; Computational efficiency; Digital communication; Distributed computing; Filters; Gaussian noise; Image restoration; Image segmentation; Laplace equations; Markov random fields; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.905941
  • Filename
    905941
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1445502