Research of Image Enhancement Algorithm under Inclement Weather
Zhenyu Liu, Hairong Jiang, Wen Xu
Available Online October 2015.
- 10.2991/iwmecs-15.2015.141How to use a DOI?
- Adaptive white balance; image dehazing; dust image enhancement
To make the image details in smoggy and dusty weather clear without reducing the quality of clear parts, is the key point of outdoor static image restoration. This paper put forward an image enhancement algorithm that can handle haze and dust image at once. First, use self-adaptive white balance algorithm to correct the color cast. Second, put forward a bright region segmentation method to revise transmittance which results in distortion in bright area based on dark channel prior. Third, use adaptive gamma technology to further correct the transmittance. Experiments show this method can recover more degraded image information than existing estimation methods.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhenyu Liu AU - Hairong Jiang AU - Wen Xu PY - 2015/10 DA - 2015/10 TI - Research of Image Enhancement Algorithm under Inclement Weather BT - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences PB - Atlantis Press SP - 706 EP - 709 SN - 2352-538X UR - https://doi.org/10.2991/iwmecs-15.2015.141 DO - 10.2991/iwmecs-15.2015.141 ID - Liu2015/10 ER -