Single Image Dehazing Using Color Attenuation Prior

Qingsong Zhu, Jiaming Mai and Ling Shao

In Proceedings British Machine Vision Conference 2014
http://dx.doi.org/10.5244/C.28.114

Abstract

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.

Session

Poster Session

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Bibtex File

Citation

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.

BibTex

@inproceedings{BMVC.28.114
	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 = { http://dx.doi.org/10.5244/C.28.114 }
}