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Proceedings Paper

Real-time haze removal by GPU acceleration based on dark channel prior algorithm
Author(s): Huan Xu; Wending Xiang; Wenjin Liu; Zhenghua Guo; Junlong Wu; Ping Yang; Bing Xu
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Paper Abstract

Dark channel prior haze removal algorithm is very simple and effective for single image haze removal, but it’s somehow limited by color distortion in gray areas and expenditure of time. Firstly, aiming at solving color distortions, we propose a modified dark channel prior haze removal algorithm. We correct the transmission of the gray areas by introducing the correction parameter, and the transmission is unchanged when the areas meet the law of dark channel prior. Secondly, to realize real-time haze removal for video surveillance, we use GPU to parallel accelerate and optimize the new algorithm on Compute Unified Device Architecture platform released by NVIDIA. Experiments show that the modified algorithm works effectively in gray areas. At the same time, the processing speed of images with a resolution of 640x480 can reach 37 frames per second after GPU acceleration and can also obtain the real-time haze removal result.

Paper Details

Date Published: 24 October 2017
PDF: 7 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622I (24 October 2017); doi: 10.1117/12.2284753
Show Author Affiliations
Huan Xu, Institute of Optics and Electronics (China)
Univ. of Chinese Academy of Sciences (China)
Wending Xiang, Institute of Optics and Electronics (China)
Univ. of Chinese Academy of Sciences (China)
Wenjin Liu, Institute of Optics and Electronics (China)
Zhenghua Guo, Institute of Optics and Electronics (China)
Univ. of Chinese Academy of Sciences (China)
Junlong Wu, Institute of Optics and Electronics (China)
Univ. of Chinese Academy of Sciences (China)
Ping Yang, Institute of Optics and Electronics (China)
Bing Xu, Institute of Optics and Electronics (China)


Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

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