| 题名: | Speed-up single image dehazing using double dark channels |
| 作者: | Jin, Xuan; Xu, Zhi-Yong
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| 出版日期: | 2013
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| 会议名称: | Proceedings of SPIE: Fifth International Conference on Digital Image Processing, ICDIP 2013
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| 会议日期: | 2013
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| 学科分类: | Image processing - Light transmission
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| DOI: | 10.1117/12.2031167
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| 中文摘要: | 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. |
| 英文摘要: | 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. |
| 收录类别: | Ei
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| 语种: | 英语
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| 卷号: | 8878
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| ISSN号: | 0277786X
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| 文章类型: | 会议论文
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| 页码: | 88780A
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| Citation statistics: |
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| 内容类型: | 会议论文
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| URI标识: | http://ir.ioe.ac.cn/handle/181551/7699
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| Appears in Collections: | 光电探测与信号处理研究室（五室）_会议论文
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作者单位: | Institute of Optics and Electronics, Chinese Academy of Science, PO box 350 St shuangliu, Chengdu City, Sichuan 610209, China
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| Recommended Citation: | |
Jin, Xuan,Xu, Zhi-Yong. Speed-up single image dehazing using double dark channels[C]. 见:Proceedings of SPIE: Fifth International Conference on Digital Image Processing, ICDIP 2013. 2013.
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