Optimized design of fast single image dehazing algorithm

Imaging in the atmosphere presents the phenomenons of low contrast, low saturation and hue offset due to atmospheric particles such as haze and fog. In this paper, an optimized design method is proposed to remove haze from a single image. Based on the atmospheric scattering model, dark channel prior is used to estimate the value of global atmospheric light by an interval. Meanwhile, the initial estimation of medium transmission is obtained. And the white balance is performed to simplify the atmospheric scattering model. Then, to deal with the invalid case of the dark channel, we exploit a scheme to identify bright area based on dual threshold and develop a way to correct transmission rate, which enables the dark channel prior to be more applicable. Finally, enhanced processing is introduced by adopting nonlinear contrast stretching, which improves the visual effect of dehazing images. The experimental results show that the proposed method can achieve a faster processing speed, effectively improve the visibility and contrast of the restored image, and obtain good color effect.