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

Fast Single Image Haze Removal Method based on Atmospheric Scattering Model

Authors
De-Wei Huang, Ke-Xin Chen, Jian-Qiang Lu, Wei-Xing Wang
Corresponding Author
De-Wei Huang
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.22How to use a DOI?
Keywords
dehaze; saturation; low-pass filter; contrast; transmission map estimation
Abstract
In this paper, we propose an effective and efficient method to remove haze from a single input image. We first remove fine details from the minimum channel of RGB channels by a low-pass filter and then use it as a rough estimation of the transmission map. Then, we refine the rough estimation by using the saturation channel of HSI color space and local contrast. Based on the atmospheric scattering model, we then obtain a high-quality haze-removed image. Results on a variety of hazy images demonstrate the effectiveness and efficiency of our method.
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This is an open access article distributed under the CC BY-NC license.

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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-16.2017.22How 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  - De-Wei Huang
AU  - Ke-Xin Chen
AU  - Jian-Qiang Lu
AU  - Wei-Xing Wang
PY  - 2016/12
DA  - 2016/12
TI  - Fast Single Image Haze Removal Method based on Atmospheric Scattering Model
PB  - Atlantis Press
SP  - 100
EP  - 104
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.22
DO  - https://doi.org/10.2991/icwcsn-16.2017.22
ID  - Huang2016/12
ER  -