Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

A New Approach for Single Image Haze Removal

Authors
Jian-Qiang Lu, Wei-Xing Wang, De-Wei Huang, Ke-Xin Chen
Corresponding Author
Jian-Qiang Lu
Available Online December 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.25How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SP  - 113
EP  - 116
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.25
DO  - https://doi.org/10.2991/icwcsn-16.2017.25
ID  - Lu2016/12
ER  -