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Author:

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

Indexed by:

EI Scopus PKU CSCD

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

Journal of Central South University (Science and Technology)

ISSN: 1672-7207

Year: 2016

Issue: 10

Volume: 47

Page: 3361-3368

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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