Image dehazing method based on neighborhood similarity dark channel prior
Xiaogang Xu · Journal of Computer Applications · 2011
Images acquired in bad weather have poor contrasts and colors.This paper proposed a simple method to remove haze based on dark channel priority.After acquiring the transmission,getting the difference between the dark channel and dark value of nearest eight pixels,the pixel of minimal difference was redefined as new dark channel.Besides,the air light was automatically estimated from the histogram of the dark channel.At last,the clear image could be recovered based on physical model.The experimental results show that the method can sharp the edge and improve the quality of the degraded image.