Underwater image and video dehazing with pure haze region segmentation

Simon Emberton; Lars Chıttka; Andrea Cavallaro

doi:10.1016/j.cviu.2017.08.003

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JOURNAL ARTICLE

Underwater image and video dehazing with pure haze region segmentation

Simon Emberton Lars Chıttka Andrea Cavallaro

Year: 2017 Journal: Computer Vision and Image Understanding Vol: 168 Pages: 145-156 Publisher: Elsevier BV

DOI: 10.1016/j.cviu.2017.08.003

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Abstract

S. Emberton was supported by the UK EPSRC Doctoral Training Centre EP/G03723X/1. Portions of the research in this paper use the PKU-EAQA dataset collected under the sponsorship of the National Natural Science Foundation of China.

Keywords:

Underwater Haze Artificial intelligence Computer science Visibility Standard illuminant Computer vision Distortion (music) Segmentation Contrast (vision) Color correction Image (mathematics) Geology Geography

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Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Underwater image and video dehazing with pure haze region segmentation

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