Single image dehazing using color attenuation prior

Qingsong Zhu, Jiaming Mai, Ling Shao

Research output: Contribution to conferencePaperpeer-review

87 Citations (Scopus)


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.
Original languageEnglish
Publication statusPublished - Sept 2014
EventBritish Machine Vision Conference 2014 - Nottingham, UK
Duration: 1 Sept 2014 → …


ConferenceBritish Machine Vision Conference 2014
Period1/09/14 → …


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