• DocumentCode
    2898939
  • Title

    Variational Shape Preserving Contrast Enhancement

  • Author

    Du, Zhen-Long ; Li, Xiao-Li ; Zhang, Ya-Fen

  • Author_Institution
    Comput. & Commun. Sch., Lanzhou Univ. of Sci. & Technol.
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    4019
  • Lastpage
    4023
  • Abstract
    Existing contrast enhancement methods based on the partial differential equation are good at process gray image, while for color image, they can handle limited luminance range. In this paper, we propose a variational method to enhance the contrast of color image, which permits wide luminance range. The connected component is employed for preserving the shape. The gradient and spatial local features are exploited for holding more details. The enhancement procedure avoids the gamut problem. The results show that the proposed approach can efficiently enhance the contrast of color image
  • Keywords
    brightness; image colour analysis; image enhancement; partial differential equations; variational techniques; color image; gray image; luminance range; partial differential equation; spatial local features; variational shape preserving contrast enhancement; Adaptive equalizers; Biomedical imaging; Cameras; Color; Cybernetics; Displays; Dynamic range; Electronic mail; Histograms; Machine learning; Partial differential equations; Shape; Contrast enhancement; Dynamic range; Variational;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.258802
  • Filename
    4028775