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Author:

Wang, Simin (Wang, Simin.) | Li, Xiaoguang (Li, Xiaoguang.) | Zhang, Hui (Zhang, Hui.) | Zhuo, Li (Zhuo, Li.)

Indexed by:

CPCI-S

Abstract:

Nighttime video surveillance may suffer from non-uniform illumination from artificial light sources. Meanwhile, these light sources which often result in so noticeable amounts of glow that the objects nearby the light sources cannot be seen at all. To solve the above problem, our paper proposed a novel gradient-domain image enhancement method for traffic signs in nighttime surveillance. We found that both of the glow-removal and image fusion can be represented as a kind of gradient adjustment. Therefore, in our method, remove the glow effects via image gradient decomposition at first. Then, complementary details of inter frames can be fused together in the gradient domain. Finally, the enhanced image will be obtained via a Poisson solver. We have done many experiments and the results show that the proposed method can effectively enhance the traffic signs in nighttime traffic videos.

Keyword:

nighttime traffic surveillance image enhancement traffic signs gradient domain fusion

Author Community:

  • [ 1 ] [Wang, Simin]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China
  • [ 2 ] [Li, Xiaoguang]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China
  • [ 3 ] [Zhang, Hui]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China
  • [ 4 ] [Zhuo, Li]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China

Reprint Author's Address:

  • [Wang, Simin]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China

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Source :

2017 10TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI)

Year: 2017

Language: English

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: 0

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