Real-time Image Haze Removal Method for Fire Scene Images

摘要

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.