Single Image Dehazing Using Color Attenuation Prior

Qingsong Zhu, Jiaming Mai and Ling Shao

In Proceedings British Machine Vision Conference 2014


In this paper, we propose a simple but powerful prior, linear 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 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.


Poster Session


Extended Abstract (PDF, 1 page, 270K)
Paper (PDF, 10 pages, 1.3M)
Bibtex File


Qingsong Zhu, Jiaming Mai, and Ling Shao. Single Image Dehazing Using Color Attenuation Prior. Proceedings of the British Machine Vision Conference. BMVA Press, September 2014.


	title = {Single Image Dehazing Using Color Attenuation Prior},
	author = {Zhu, Qingsong and Mai, Jiaming and Shao, Ling},
	year = {2014},
	booktitle = {Proceedings of the British Machine Vision Conference},
	publisher = {BMVA Press},
	editors = {Valstar, Michel and French, Andrew and Pridmore, Tony}
	doi = { }