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
- 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.
- 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 - 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 BT - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016) PB - Atlantis Press SP - 100 EP - 104 SN - 2352-538X UR - https://doi.org/10.2991/icwcsn-16.2017.22 DO - 10.2991/icwcsn-16.2017.22 ID - Huang2016/12 ER -