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Mathematical Problems in Engineering
Volume 2016, Article ID 3141478, 15 pages
Research Article

Restoration and Enhancement of Underwater Images Based on Bright Channel Prior

School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

Received 2 June 2016; Revised 16 August 2016; Accepted 5 September 2016

Academic Editor: Jinyang Liang

Copyright © 2016 Yakun Gao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper proposed a new method of underwater images restoration and enhancement which was inspired by the dark channel prior in image dehazing field. Firstly, we proposed the bright channel prior of underwater environment. By estimating and rectifying the bright channel image, estimating the atmospheric light, and estimating and refining the transmittance image, eventually underwater images were restored. Secondly, in order to rectify the color distortion, the restoration images were equalized by using the deduced histogram equalization. The experiment results showed that the proposed method could enhance the quality of underwater images effectively.