• DocumentCode
    3727104
  • Title

    Dynamic recursive subimage histogram equalization algorithm for image contrast enhancement

  • Author

    Milos Jordanski;Aleksandra Arsic;Milan Tuba

  • Author_Institution
    Faculty of Mathematics, University of Belgrade, Studentski trg 16, 11000 Belgrade, Serbia
  • fYear
    2015
  • Firstpage
    819
  • Lastpage
    822
  • Abstract
    Contrast enhancement plays a fundamental role in image processing. Histogram equalization is a well-known and effective technique for enhancing the contrast of the input image, however it fails to preserve the brightness of the image. In order to preserve natural appearance and brightness of enhanced images, we propose a new dynamic recursive sub-image histogram equalization method for contrast enhancement. Experimental results show that, for the variety of test images, the proposed method enhances contrast effectively, while preserving brightness and natural appearance.
  • Keywords
    "Histograms","Brightness","Image segmentation","Dynamic range","Heuristic algorithms","Probability density function"
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Forum Telfor (TELFOR), 2015 23rd
  • Type

    conf

  • DOI
    10.1109/TELFOR.2015.7377591
  • Filename
    7377591