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An improved LDR image enhancement algorithm based on visual characteristics and gray scale compensation

  • HE Baochang ,
  • GENG Xiurui ,
  • HU Wenlong
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  • 1 Institute of Electronic, Chinese Academy of Sciences, Beijing 100190, China;
    2 Key Laboratory of Geo-spatial Information Processing and Application System Technology, Chinese Academy of Sciences, Beijing 100190, China;
    3 University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2017-02-14

  Revised date: 2017-04-12

  Online published: 2018-05-15

Abstract

In view of the drawbacks of traditional spatial image enhancement algorithms, this paper proposes an improved algorithm based on the layered difference representation (LDR) algorithm which constructs a two-dimensional histogram containing the spatial context information. The histogram exploits the visual characteristics to construct a two-dimensional visual difference histogram, which is consequently used in the enhancement of the input images with LDR. Finally, the grayscale compensation method is used to ameliorate the over-enhancement problem. Experimental results show that the proposed algorithm produces better visual effects (performance), improves the overall brightness and contrast, and eliminates the artifacts. The proposed method is free of parameter selection and meets the real-time processing requirement.

Cite this article

HE Baochang , GENG Xiurui , HU Wenlong . An improved LDR image enhancement algorithm based on visual characteristics and gray scale compensation[J]. Journal of University of Chinese Academy of Sciences, 2018 , 35(3) : 391 -401 . DOI: 10.7523/j.issn.2095-6134.2018.03.014

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