• DocumentCode
    1033245
  • Title

    Adaptive image restoration using local statistics and directional gradient information

  • Author

    Kim, Nam Chul ; Jung, S.H.

  • Author_Institution
    Kyungpook National University, Department of Electronic Engineering, Taegu, Korea
  • Volume
    23
  • Issue
    12
  • fYear
    1987
  • Firstpage
    610
  • Lastpage
    611
  • Abstract
    We present an adaptive restoration algorithm to effectively restore an image degraded by additive white Gaussian noise using local statistics and directional gradient information in the spatial domain. The proposed algorithm is a modified Lee algorithm considered to compensate its drawback that little noise is removed at edge regions even though the edges are well preserved. Experimental results show better performance than for conventional algorithms.
  • Keywords
    filtering and prediction theory; picture processing; adaptive restoration algorithm; additive white Gaussian noise; directional gradient information; edge regions; filtering; image restoration; local statistics; modified Lee algorithm; noise degradation; spatial domain;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19870437
  • Filename
    4257770
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1033245