Optimized Fast Dehazing Method Based on Dark Channel Prior
Shen Ji · Dianzi xuebao · 2013
The dark channel prior algorithm is effective to some extent when working on some single outdoor scene hazing images.However,it has to expend large amounts of memory storage and computational time.Besides,the result of the sky region is not accurate enough.In this paper,we estimate the transmission map through processing the edges and non-edges respectively with different neighborhoods and obtain more accurate atmospheric light value by departing the sky part or the most hazed region of the image.This method can get a similar or even a better dehazing result than the classical haze removal methods,and moreover take less memory consumption and get much faster computational speed.