Real-time Image Haze Removal Method for Fire Scene Images
Rui Xue, Ming Zhong, Enxuan Zhang, Shasha Zhao, Dengyin Zhang
Available Online June 2018.
- https://doi.org/10.2991/icmmct-18.2018.2How to use a DOI?
- real time image haze removal, dark channel priori, guided filtering, histogram equalization
- A large amount of haze in the fire scene greatly affects the survey on the scene for fire fighters. The intelligent fire control can greatly improve the fire rescue efficiency and reduce the casualty rate. In this paper, an algorithm based on the hardware conditions of the intelligent fire helmet platform is proposed, which improves dark channel prior. Filtering partition and sampling are respectively used to quickly and accurately evaluate and repair the transmittance with a guided filter. Replacing the maximum value with an average one, the global atmospheric light is more efficiently and accurately estimated. The histogram equalization algorithm was finally carried out. The dehazing image contrast can be effectively improved using the histogram equalization algorithm. As a result, real-time and rapid fire scene image haze removal can be obtained at the same time, which will effectively help firefighters to spray treatment and finish on-site survey.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Rui Xue AU - Ming Zhong AU - Enxuan Zhang AU - Shasha Zhao AU - Dengyin Zhang PY - 2018/06 DA - 2018/06 TI - Real-time Image Haze Removal Method for Fire Scene Images BT - 2018 6th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2018) PB - Atlantis Press SP - 7 EP - 14 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-18.2018.2 DO - https://doi.org/10.2991/icmmct-18.2018.2 ID - Xue2018/06 ER -