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.

Full text not available from this repository. (Request a copy)

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: Nicola King
Date Deposited: 16 Jun 2015 11:53
Last Modified: 10 Aug 2015 11:04
URI: http://nrl.northumbria.ac.uk/id/eprint/22943

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence