A New Approach for Single Image Haze Removal

DOI

10.2991/icwcsn-16.2017.25How to use a DOI?

Keywords

estimate transmission map; haze removal; atmospheric scattering model

Abstract

We require the system for haze removal can process in real-time and have an accurate result. However, the existing algorithm can hardly meet the two requirements which we discuss above. In this paper, we propose a novel algorithm which is using the minimum channel in R, G, B and the difference of the three channel that we refer before to estimate the transmission map. We assume that there is some relationship between transmission map and the minimum channel and the difference of the three channel. After having done a large number set of statistics, we find that they find the relation between them and make up a model to estimate the transmission map. After we get the transmission map, we can use the atmospheric scattering model to restore the image. After having done a lot of test, we find that our method do efficiency in haze removal.

Copyright

© 2017, 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  - Jian-Qiang Lu
AU  - Wei-Xing Wang
AU  - De-Wei Huang
AU  - Ke-Xin Chen
PY  - 2016/12
DA  - 2016/12
TI  - A New Approach for Single Image Haze Removal
BT  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 113
EP  - 116
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.25
DO  - 10.2991/icwcsn-16.2017.25
ID  - Lu2016/12
ER  -