• DocumentCode
    2681685
  • Title

    Perceptual Colour Image Sharpening using Fuzzy Morphological Agents

  • Author

    Wirth, M.A. ; Nikitenko, D.

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Guelph Univ., Ont.
  • fYear
    2006
  • fDate
    3-6 June 2006
  • Firstpage
    235
  • Lastpage
    240
  • Abstract
    The processing of colour images to improve sharpness has nearly always been realized in RGB colour space. This paper extends our earlier algorithm for image sharpening based on fuzzy morphology to colour images. More specifically it explores the use of this algorithm in various colour domain. Part of the goal is to determine which colour space provides a result which does not differ immeasurably from the original with respect to chromaticity
  • Keywords
    fuzzy set theory; image colour analysis; RGB colour space; chromaticity; fuzzy morphological agents; perceptual colour image sharpening; Color; Colored noise; Digital cameras; Extraterrestrial phenomena; Filters; Humans; Image processing; Information science; Morphology; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2006. NAFIPS 2006. Annual meeting of the North American
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0362-6
  • Electronic_ISBN
    1-4244-0363-4
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2006.365414
  • Filename
    4216807