In this paper, we propose a simple but powerful prior, color attenuation prior, for haze removal from a single input hazy image. By creating a linear model for modelling the scene depth of the hazy image under this novel prior and learning the parameters of the model by using a supervised learning method, the depth information can be well recovered. With the depth map of the hazy image, we can easily remove haze from a single image. Experimental results show that the proposed approach is highly efficient and it outperforms state-of-the-art haze removal algorithms in terms of the dehazing effect as well.
|Publication status||Published - Sept 2014|
|Event||British Machine Vision Conference 2014 - Nottingham, UK|
Duration: 1 Sept 2014 → …
|Conference||British Machine Vision Conference 2014|
|Period||1/09/14 → …|