Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)

Image Dehazing Method Based on Multi-scale Feature Fusion

Authors
Minghai Yao, Qi Miao, Qiaohong Hao
Corresponding Author
Minghai Yao
Available Online July 2017.
DOI
10.2991/essaeme-17.2017.438How to use a DOI?
Keywords
Image dehazing, adaptive clustering, feature fusion, Laplacian pyramid
Abstract

In recent years, image dehazing has become an active topic in computer vision. This paper presents a novel dehazing method based on adaptive clustering and image fusion for restoring a single image degraded by fog or haze. Firstly, the coarse-scale transmission map is addressed based on adaptive clustering for the haze image. Then, the saturation of haze image is extracted as fine-scale transmission map, which can reflect the scene depth information truly and naturally. Next, the accurate transmission map is generated by using Laplacian pyramid fusion technique. Finally, the haze-free image is restored by solving the image degradation physical model. The effectiveness of the proposed method is evaluated on various real-scene haze images. Experimental results indicate that our proposed method is simpler and more effective compared with several well-known methods, and even achieve better visual results. Specifically, our method is more fast and suitable for real-time requirement.

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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Volume Title
Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2017
ISBN
10.2991/essaeme-17.2017.438
ISSN
2352-5398
DOI
10.2991/essaeme-17.2017.438How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Minghai Yao
AU  - Qi Miao
AU  - Qiaohong Hao
PY  - 2017/07
DA  - 2017/07
TI  - Image Dehazing Method Based on Multi-scale Feature Fusion
BT  - Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-17.2017.438
DO  - 10.2991/essaeme-17.2017.438
ID  - Yao2017/07
ER  -