• DocumentCode
    2417270
  • Title

    Fuzzy Image Sharpening of Historical Prints

  • Author

    Wirth, Michael A. ; Nikitenko, Dennis

  • Author_Institution
    Univ. of Guelph, Guelph
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    969
  • Lastpage
    976
  • Abstract
    Established methods for sharpening details in images often lead to the magnification of background noise at the expense of detail clarity. This paper applies a method of image sharpening based on fuzzy morphology which is used to enhance historical images. The algorithm is a blend of morphological analysis and fuzzy reasoning, which unlike recognized methods of sharpening such as unsharp masking, does not excessively amplify noise. The algorithm is applied to the task of enhancing acuity in historical photographs, including colour slides.
  • Keywords
    computer vision; fuzzy reasoning; history; fuzzy image sharpening; fuzzy reasoning; historical image print; morphological analysis; Algorithm design and analysis; Background noise; Colored noise; Cultural differences; Fuzzy reasoning; Fuzzy systems; Image restoration; Information science; Morphology; Optical noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2006 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9488-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.2006.1681828
  • Filename
    1681828