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Fast Image Dehazing Using Color Attributes Prior

In this paper, we propose a color attributes prior, which establishes a relationship between the RGB observations and the linguistic color labels, for fast haze removal from a single input hazy image. Based on the novel prior, the transmission map and the RGB observations can be connected by a linear function through the physically-based analytical models of the image formation. Using the linear function, the transmission map as well as the haze-free image can be recovered. Experiments on synthetic and real datasets demonstrate that the proposed algorithm is able to achieve significantly better results as compared to the recent state-of-the-art methods. Moreover, it can efficiently restore a hazy image at a very low computational complexity, which has a huge potential for real-time application.