Single Image Dehazing Using Color Attenuation Prior

Qingsong Zhu, , Jiaming Mai, and Shao, Ling (2014) Single Image Dehazing Using Color Attenuation Prior. In: 25th British Machine Vision Conference, BMVC 2014, 2014-09-01 - 2014-09-05.

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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)
Faculty \ School: Faculty of Science > School of Computing Sciences
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Depositing User: Pure Connector
Date Deposited: 10 Feb 2017 02:29
Last Modified: 22 Apr 2020 09:37
URI: https://ueaeprints.uea.ac.uk/id/eprint/62417
DOI:

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