Fast single image dehazing algorithm
Xipan Lu, Guoyun Lv, Tao Lei · 2014
Image captured in foggy weather conditions often suffer from poor visibility. In this paper, we proposed an improved method of dark channel prior. Using the semi-inverse algorithm, the proposed algorithm can accurately identify the foggy area and effectively obtain the global atmospheric light. Then the transmission is obtained according to the minimum channel of RGB. Finally the scene albedo is recovered by inverting the atmospheric scattering model. The main advantage of the proposed algorithm compared with others is its higher speed. This speed allows the algorithm to be applied in real-time processing applications. A comparative experiment with several existing state-of-the-art algorithms shows that the proposed method achieves good restoration for contrast and color fidelity.