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Real-time haze removal by GPU acceleration based on dark channel prior algorithm
Huan Xu[1,2,3], Wending Xiang[1,2,3], Wenjin Liu[1,2], Zhenghua Guo[1,2,3], Junlong Wu[1,2,3], Ping Yang[1,2], Bing Xu[1,2]
2017
Conference NameProceedings of SPIE: AOPC 2017: Optical Sensing and Imaging Technology and Applications
Source Publication0277-786X
Volume10462
Pages104622I
AbstractDark 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.
Keywordhaze removal, dark channel prior, GPU, real-time
Language英语
EI Classification Number2017-2154
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/9022
Collection自适应光学技术研究室(八室)
Affiliation1.Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu , Sichuan, China,610209
2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, China,610209
3.University of Chinese Academy of Sciences, Beijing, China , 100049
Recommended Citation
GB/T 7714
Huan Xu[1,2,3], Wending Xiang[1,2,3], Wenjin Liu[1,2], Zhenghua Guo[1,2,3], Junlong Wu[1,2,3], Ping Yang[1,2], Bing Xu[1,2]. Real-time haze removal by GPU acceleration based on dark channel prior algorithm[C],2017:104622I.
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