• DocumentCode
    923302
  • Title

    Role of recursive estimation in statistical image enhancement

  • Author

    Nahi, Nasser E.

  • Author_Institution
    University of Southern California, Los Angeles, Calif.
  • Volume
    60
  • Issue
    7
  • fYear
    1972
  • fDate
    7/1/1972 12:00:00 AM
  • Firstpage
    872
  • Lastpage
    877
  • Abstract
    Recursive linear and nonlinear estimation concepts are applied to the problem of image enhancement, whereby procedures for the derivation of the estimators are developed. These procedures are applicable to enhancement of images characterized statistically by their mean and correlation function. Design of an approximate time invariant and a time varying estimator is discussed and the implications of vector scanning are investigated. Feasibility of the approach is illustrated by means of examples, and the computational advantages are presented.
  • Keywords
    Acoustic reflection; Additive noise; Autocorrelation; Filtering; Image enhancement; Image restoration; Nonlinear distortion; Random processes; Recursive estimation; Statistics;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/PROC.1972.8786
  • Filename
    1450716
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=923302