Single Image Dehazing Using Color Attenuation Prior

Qingsong Zhu, Jiaming Mai, Ling Shao

Research output: Contribution to conferencePaper

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.
Original languageEnglish
Publication statusPublished - 2014
Event25th British Machine Vision Conference, BMVC 2014 - Nottingham, United Kingdom
Duration: 1 Sep 20145 Sep 2014

Conference

Conference25th British Machine Vision Conference, BMVC 2014
CountryUnited Kingdom
CityNottingham
Period1/09/145/09/14

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