Research of Image Enhancement Algorithm under Inclement Weather

DOI

10.2991/iwmecs-15.2015.141How to use a DOI?

Keywords

Adaptive white balance; image dehazing; dust image enhancement

Abstract

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.

Copyright

© 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/).

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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  -