VISUAL ENHANCEMENT METHOD FOR INTELLIGENT VEHICLE'S SAFETY BASED ON BRIGHTNESS GUIDE FILTERING ALGORITHM THINKING OF THE HIGH TRIBOLOGICAL AND ATTENUATION EFFECTS

摘要

Due to the high tribological effect between fog particles and daylight, in the haze weather, the visibility becomes very low. In order to improve the low visibility and poor contrast of video, in this study, we propose a haze video enhancement algorithm based on guide filtering method. In this paper, firstly, we simplified the atmospheric attenuation model. Then, the current concentration of haze is estimated based on dark channel priori theory. After that, a guide filter of brightness channel was used to obtain current haze coverage. Videos are recovered based on the results of estimation of haze concentration and coverage. To improve the efficiency of the algorithm, highly time-consuming stage of haze concentration is implemented in the initialization phase, and an indicator of video definition is used to control the procedure of subsequent module. Experimental results show that the algorithm can effectively improve the contrast and sharpness of a video with highly computational efficiency. The proposed method can meet the needs of video haze removing.