Dark Channel Prior Dehazing Algorithm Based on Sky Optimization of Digital Image

A dark channel prior dehazing algorithm based on sky-potimization is provided to deal with the problem that dark channel prior dehazing algorithm is limited to the sky region. On the basis of the original formula, the sky region constraint factor is added according to the proportion of the light median value of the sky atmospheric component and the sky region, and makes it suitable for the processing of the sky region. At the same time, the sky region is obtained by K-means clustering and segmentation image, and the smoothed result of the sky region is used as a new guide image to guide and filter the transmittance diagram based on the original haze image as the guidance filtering for transmissivity. Experimental results show that the proposed dehaze algorithm is significant improvements whether in the sky region and the actual dehaze effect, or in the overall visual perception of the image compared with the classic dark channel prior dahazing algorithm and other dark channel prior improved algorithm.