• DocumentCode
    1302972
  • Title

    Removal of salt-and-pepper noise based on compressed sensing

  • Author

    Huang, Shanjin ; Zhu, Junan

  • Author_Institution
    Dept. of Math. & Syst. Sci., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    46
  • Issue
    17
  • fYear
    2010
  • Firstpage
    1198
  • Lastpage
    1199
  • Abstract
    An image restoration method for removing salt-and-pepper noise is proposed. The key point of the method is the sparsity used to reconstruct the whole image based on partial noise-free pixels. Experimental results demonstrate the better performance of the proposed method compared to the existing modified median-type filters.
  • Keywords
    data compression; image coding; image denoising; image restoration; compressed sensing; image reconstruction; image restoration; salt-and-pepper noise removal;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2010.0833
  • Filename
    5556085
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1302972