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Speed-up single image dehazing using double dark channels
Jin, Xuan; Xu, Zhi-Yong
Volume8878
Pages88780A
2013
Language英语
ISSN0277786X
DOI10.1117/12.2031167
Indexed ByEi
Subtype会议论文
AbstractRecent research has made significant progress in single image dehazing by using dark channel prior. We can directly estimate the thickness of the haze and recover a high quality haze-free image by using it. However, such method is inefficient when processing high resolution or high-bit-wide images because of its high computational complexity. Besides, the results are inaccurate when there are large white objects in the scene. A novel image prior is proposed in this paper to solve the above drawbacks. We develop a powerful and speed-up single image dehazing method by replacing the single dark channel with double dark channels with different scales to estimate the global atmospheric light and the transmission. Thus we can separate the method into two parts and ignore the soft matting that occupies 95% computation cost of the previous method. The experimental results show that our method is much faster than the original method and reduces the distortion caused by large white objects in the scene at the same time. Compared with previous method, our new single image dehazing method achieves the same, even better image quality with only around 1/23 computation time and saves lots of memory space. © 2013 SPIE.; Recent research has made significant progress in single image dehazing by using dark channel prior. We can directly estimate the thickness of the haze and recover a high quality haze-free image by using it. However, such method is inefficient when processing high resolution or high-bit-wide images because of its high computational complexity. Besides, the results are inaccurate when there are large white objects in the scene. A novel image prior is proposed in this paper to solve the above drawbacks. We develop a powerful and speed-up single image dehazing method by replacing the single dark channel with double dark channels with different scales to estimate the global atmospheric light and the transmission. Thus we can separate the method into two parts and ignore the soft matting that occupies 95% computation cost of the previous method. The experimental results show that our method is much faster than the original method and reduces the distortion caused by large white objects in the scene at the same time. Compared with previous method, our new single image dehazing method achieves the same, even better image quality with only around 1/23 computation time and saves lots of memory space. © 2013 SPIE.
Conference NameProceedings of SPIE: Fifth International Conference on Digital Image Processing, ICDIP 2013
Conference Date2013
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7699
Collection光电探测与信号处理研究室(五室)
Affiliation Institute of Optics and Electronics, Chinese Academy of Science, PO box 350 St shuangliu, Chengdu City, Sichuan 610209, China
Recommended Citation
GB/T 7714
Jin, Xuan,Xu, Zhi-Yong. Speed-up single image dehazing using double dark channels[C],2013:88780A.
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