Single image haze removal has been a challenging
problem due to its ill-posed nature. In this paper, we propose a
simple but powerful color attenuation prior for haze removal from
a single input hazy image. By creating a linear model for modeling
the scene depth of the hazy image under this novel prior and
learning the parameters of the model with a supervised learning
method, the depth information can be well recovered.