A Method for Intersection Traffic Image Enhancement Based on Adaptive Brightness Baseline Drift
Liu Ca · Wuhan Daxue xuebao. Xinxi kexue ban · 2015
As most enhancement methods do not consider the simultaneous relationship among images,light intensity,and shooting times,this paper proposes an enhancement algorithm for all-weather intersection traffic images based on adaptive brightness baseline drift(ABBD)according to illumination variations at different times.The algorithm establishes a brightness benchmark curve according to the changing illumination at different times,and then an adaptive brightness benchmark model is set up based on the brightness benchmark curve and the real-time brightness feedback.The proposed algorithm uses the brightness benchmark model to enhance the brightness of the image adaptively.Experimental results show the method's effectiveness for image enhancement in all-weather and different light conditions,as well as its robustness under different weather conditions.