• DocumentCode
    319893
  • Title

    Shape preserving local contrast enhancement

  • Author

    Caselles, Vicent ; Lisani, Jose Luis ; Morel, Jean Michel ; Sapiro, Guillermo

  • Author_Institution
    Univ. de les Illes Balears, Palma de Mallorca, Spain
  • Volume
    1
  • fYear
    1997
  • fDate
    26-29 Oct 1997
  • Firstpage
    314
  • Abstract
    A novel approach for shape preserving contrast enhancement is presented. Contrast enhancement is achieved by means of a local histogram equalization algorithm which preserves the level-sets of the image. This basic property is violated by common local schemes, thereby introducing spurious objects and modifying the image information. The scheme is based on equalizing the histogram in all the connected components of the image, which are defined based on the image grey-values and spatial relations between its pixels. Following mathematical morphology, these constitute the basic objects in the scene. We give examples for both grey-valued and color images
  • Keywords
    image colour analysis; image enhancement; mathematical morphology; color images; grey-valued images; image connected components; image information; image level-sets; local histogram equalization algorithm; mathematical morphology; pixels; shape preserving local contrast enhancement; spatial relations; spurious objects; Color; Distribution functions; Histograms; Image processing; Inspection; Layout; Morphology; Pixel; Shape; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.647769
  • Filename
    647769