Real-time haze removal by GPU acceleration based on dark channel prior algorithm
文献类型：会议论文
| 作者 | 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] |
| 出版日期 | 2017 |
| 关键词 | haze removal, dark channel prior, GPU, real-time |
| 卷号 | 10462 |
| 页码 | 104622I |
| 英文摘要 | 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. |
| 会议录 | 0277-786X
 |
| 语种 | 英语 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/9022]  |
| 专题 | 光电技术研究所_自适应光学技术研究室（八室） |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing, China , 100049 2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, China,610209 3.Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu , Sichuan, China,610209 |
| 推荐引用方式 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]. 见:. |
入库方式： OAI收割
来源：光电技术研究所
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