• DocumentCode
    595113
  • Title

    No reference measurement of contrast distortion and optimal contrast enhancement

  • Author

    Hongteng Xu ; Guangtao Zhai ; Xiaokang Yang

  • Author_Institution
    Shanghai Key Lab. of Digital Media, Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    1981
  • Lastpage
    1984
  • Abstract
    In this paper, a novel histogram-based model for contrast enhancement is proposed. Based on our analysis about the relationships of histogram with contrast, we establish a model which 1) achieves contrast enhancement by an optimal transform of histogram, 2) gives two metrics called contrast gain and nonlinear-ity of transform to measure the strength of enhancement and the seriousness of distortion caused by enhancement respectively. The ratio of the two proposed metrics not only gives a guidance for the configuration of parameter in the algorithm, but also provides a useful measurement for contrast distortion, which can be a potential solution to judge whether the contrast of an image is optimal. Experimental results show the superior performances of the proposed algorithm in image enhancement.
  • Keywords
    distortion; image enhancement; contrast distortion; contrast gain; histogram optimal transform; histogram-based model; image enhancement; optimal contrast enhancement; parameter configuration; transform nonlinearity; Computational modeling; Distortion measurement; Histograms; Linear programming; Transforms; Visual effects;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460546