Aiming at problem that some hazes cannot be removed completely from a single image based on dark channel prior and processing speed is slow

an improved algorithm is proposed combined with histogram equalization algorithm. The algorithm performs histogram equalization on the minimum image of the fog image in order to improve the contrast of the minimum image. The processed minimum image is filtered utilizing the bilateral filtering characteristics of edge-preserving smoothing

which can be used as guide map to refine the initial transmission map. The average value of the pixel values in the dark channel images at the first 0. 1% is taken as the atmospheric light value A

and the defogging image is restored according to the atmospheric scattering model.The experimental results show that the transmissivity image obtained using the algorithm has better sharpness and the computational speed is greatly improved. Meanwhile

the algorithm compensate the weakness of transmissivity estimation in bright area.