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Single image enhancement using dual boundaries
Author(s): Meng Chang; Guangxia Wang; Qi Li; Huajun Feng; Zhihai Xu
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Paper Abstract

The images captured from environment often suffer from low contrast and visual quality due to the bad imaging conditions like low light or haze weather. Many methods have been proposed based on traditional image enhancement models including dehazing model and Retinex model typically. However, their scopes are limited and specific. In this paper, we propose a simple but effective method to enhance images contrast and keep the good visual quality. By observing the traditional image enhancement models including dehazing model and Retinex model, a general normalized model is proposed. To preserve the image details and control the brightness, we introduce dual boundaries called the dark and bright boundary to handle the low light and high light condition. After getting the dark and bright boundary, the images are enhanced accordingly. Experiments show our method can be applied in many bad imaging conditions and keep good performances.

Paper Details

Date Published: 7 November 2018
PDF: 6 pages
Proc. SPIE 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 1083215 (7 November 2018); doi: 10.1117/12.2510940
Show Author Affiliations
Meng Chang, Zhejiang Univ. (China)
Guangxia Wang, Zhejiang Univ. (China)
Qi Li, Zhejiang Univ. (China)
Huajun Feng, Zhejiang Univ. (China)
Zhihai Xu, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 10832:
Fifth Conference on Frontiers in Optical Imaging Technology and Applications
Junhao Chu; Wenqing Liu; Huilin Jiang, Editor(s)

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