Single image dehazing using color attenuation prior

Zhu, Qingsong, Mai, Jiaming and Shao, Ling (2014) Single image dehazing using color attenuation prior. In: British Machine Vision Conference 2014, 1-5 September 2014, Nottingham, UK.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	G400 Computer Science G700 Artificial Intelligence
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Users 6424 not found.
Date Deposited:	16 Jun 2015 11:53
Last Modified:	13 Oct 2019 00:37
URI:	http://nrl.northumbria.ac.uk/id/eprint/22943

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