• DocumentCode
    1962730
  • Title

    Bit Planes Histogram Equalization for Tone Mapping of High Contrast Images

  • Author

    Agarwal, Rashi

  • Author_Institution
    Dept. of Inf. Technol., CSJM Univ., Kanpur, India
  • fYear
    2011
  • fDate
    17-19 Aug. 2011
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    The imaging system normally used and the reproduction media has the capability to perceive scenes within a narrow range of contrast whereas the human visual system can perceive very high contrast with ease. We constantly strive to map one such set of colors to another or to address the problem of strong contrast reduction from active values to the displayable range preserving the image details. The goals of the mapping may differ depending on the application and the result we seek. A large number of computationally intensive methods have been developed in the past to address this problem. In this paper we try to develop a simple but extremely effective method to address to the problem of high contrast images so as to be able to reproduce them on media with minimum loss of detail and minimum introduction of "canvas like" effects.
  • Keywords
    computer vision; visual perception; bit plane histogram equalization; computationally intensive methods; contrast reduction; high contrast image; human visual system; reproduction media; tone mapping; Brightness; Dynamic range; Feature extraction; Helium; Histograms; Probability density function; Visualization; Bit plane slicing; Histogram Equalization; Tone Mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics, Imaging and Visualization (CGIV), 2011 Eighth International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-0981-4
  • Type

    conf

  • DOI
    10.1109/CGIV.2011.18
  • Filename
    6054081