Abstract:

To solve the problem of severe degradation of outdoor images caused by the scattering effect of atmospheric particles in foggy or hazy weather and failure of dark channel for sky areas estimation, this paper puts forth an algorithm of single image dehazing. Based on the image models in foggy weather, the algorithm works out a rough estimation of the medium transmission images through a priori of light and dark pixel which is more accurate for sky areas estimation. Then under the framework of random walk model, by using roughly estimated medium transmission diagram as a priori to constrain the traditional random walk energy model, and further optimizing the medium transmission, accurate images are eventually achieved. The experimental results show that the proposed algorithm effectively integrates the advantages and disadvantages of a priori of light and dark pixel for image estimation in fog and haze in random walk model, and verifies the feasibility and effectiveness of the proposed method.