Improvement algorithm for single image haze removing by median dark channel prior
Huang Su-xi · Journal of Optoelectronics·laser · 2015
The traditional single image dehazing algorithm based on dark channel prior(DCP)is accompanied with shortages such as the white border in the scene and the high computational complexity.In order to solve these problems,this paper proposes an improved algorithm based on the median dark channel prior(MDCP).Firstly,the absolute value of the minimum of RGB three color channels and the median dark channel are used to determine whether dark channel prior or median dark channel prior is applicable.If dark channel prior is applicable,the dark channel prior value of bigger window is decided as the final value of dark colors.Otherwise,the smaller median dark channel prior value of two windows is used to present the final value of dark colors.If neigher dark channe prior nor median dark channel prior is not applicable,the median dark channel prior value of smaller window is chosen as the final value of dark colors.Then it retains the hue in HSI color space,the intensity is defogged using the modified dark channel values,and the saturation is improved to adopt color restoration.This method does not need the image post repairing.Experimental results show that the improved algorithm is effective and feasible.