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] | |
Source Publication | 0277-786X |
Volume | 10462 |
Pages | 104622I |
2017 | |
Language | 英语 |
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. |
Keyword | haze removal, dark channel prior, GPU, real-time |
Conference Name | Proceedings of SPIE: AOPC 2017: Optical Sensing and Imaging Technology and Applications |
EI Classification Number | 2017-2154 |
Document Type | 会议论文 |
Identifier | http://ir.ioe.ac.cn/handle/181551/9022 |
Collection | 自适应光学技术研究室(八室) |
Affiliation | 1.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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2017-2154.pdf(401KB) | 会议论文 | 开放获取 | CC BY-NC-SA | Application Full Text |
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