Speed-up single image dehazing using double dark channels

Xuan Jin; Zhi-yong Xu

doi:10.1117/12.2031167

19 July 2013 Speed-up single image dehazing using double dark channels

Xuan Jin, Zhi-yong Xu

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88780A (2013) https://doi.org/10.1117/12.2031167
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

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.

Citation Download Citation

Xuan Jin and Zhi-yong Xu "Speed-up single image dehazing using double dark channels", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88780A (19 July 2013); https://doi.org/10.1117/12.2031167

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available