A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior

Zhu, Qingsong, Mai, Jiaming and Shao, Ling (2015) A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior. IEEE Transactions on Image Processing, 24 (11). pp. 3522-3533. ISSN 1057-7149

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Official URL: http://dx.doi.org/10.1109/TIP.2015.2446191

Abstract

Single image haze removal has been a challenging problem due to its ill-posed nature. In this paper, we propose a simple but powerful 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 with a supervised learning method, the depth information can be well recovered. With the depth map of the hazy image, we can easily estimate the transmission and restore the scene radiance via the atmospheric scattering model, and thus effectively remove the haze from a single image. Experimental results show that the proposed approach outperforms state-of-the-art haze removal algorithms in terms of both efficiency and the dehazing effect.

Item Type: Article
Additional Information: PMID: 26099141
Uncontrolled Keywords: Dehazing, defog, depth restoration, image restoration
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Becky Skoyles
Date Deposited: 31 Jul 2015 11:34
Last Modified: 10 May 2017 20:41
URI: http://nrl.northumbria.ac.uk/id/eprint/23473

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