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作者:

Zhao, Hongyu (Zhao, Hongyu.) | Xiao, Chuangbai (Xiao, Chuangbai.) | Yu, Jing (Yu, Jing.)

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摘要:

Through analyzing the errors introduced by Retinex algorithms, a novel enhancement method based on dual Markov random field model (MRF) was proposed to improve single night color image visibility. Firstly, an edge-preserving Gaussian-MRF model to estimate illumination component in HSV color space was constructed. The reflection component obtained by Retinex principle was corrected through gain/offset method. Then, an effective Huber-MRF model to optimize the result was constructed. Finally, after the color space conversion, the proposed method realized the night color image enhancement. The results show that this method has the characteristics of detail preserving, color restoration, Halo effect elimination and noise suppression, and can enhance night color image visibility robustly. © 2016, Central South University Press. All right reserved.

关键词:

Color Image enhancement Image segmentation Magnetorheological fluids Markov processes Random errors Visibility

作者机构:

  • [ 1 ] [Zhao, Hongyu]College of Computer Science and Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Xiao, Chuangbai]College of Computer Science and Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Yu, Jing]College of Computer Science and Technology, Beijing University of Technology, Beijing; 100124, China

通讯作者信息:

  • [zhao, hongyu]college of computer science and technology, beijing university of technology, beijing; 100124, china

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来源 :

Journal of Central South University (Science and Technology)

ISSN: 1672-7207

年份: 2016

期: 10

卷: 47

页码: 3361-3368

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