A Fast Single Image Dehazing Method Based on Dark Channel Prior and Retinex Theory
Liu Hai · Acta Automatica Sinica · 2015
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, a fast method is proposed to remove haze from a single image based on dark channel prior and Retinex theory. Based on the atmospheric scattering model, dark channel prior and grayscale opening operation are 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, a simple Gaussian filter is adopted to get the coarse estimation of medium transmission based on Retinex theory, whose gray value is altered by linear mapping. After the pixels fusion between the initial estimation and coarse estimation of medium transmission, a fast joint bilateral filtering is used to refine edge, and a dynamic parameter strategy is adopted to improve the medium transmission of large sky region in fog image. Finally, the simplified atmospheric scattering model and tone mapping are used to get the restored image. Compared to some state-of-the-art methods,the proposed method can achieve a faster processing speed, effectively improve the visibility and contrast of the restored image, and obtain good color effect.