Image Dehazing Algorithm Based on Multi Mixed Prior Theory

Abstract

In order to eliminate the prior blind area and improve the clarity of the fogging image, an image dehazing algorithm based on the multi mixed prior theory is proposed. First, the pixel area of the image is partitioned by dual constraints. Then the atmospheric transmittance of the dual constrained region is obtained by using the multi mixture priori theory. Finally, the guided filter algorithm is used to optimize the transmittance map. The experimental results show that compared with the traditional algorithm, the algorithm has a better visual effect and higher evaluation indexes. The algorithm proposed in this paper has a good restoration effect for fog image restoration.