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Underwater image quality assessment: subjective and objective methods

Guo, Pengfei, He, Lang, Liu, Shuangyin, Zeng, Delu and Liu, Hantao 2021. Underwater image quality assessment: subjective and objective methods. IEEE Transactions on Multimedia 10.1109/TMM.2021.3074825

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Abstract

Underwater image enhancement plays a critical role in marine industry. Various algorithms are applied to enhance underwater images, but their performance in terms of perceptual quality has been little studied. In this paper, we investigate five popular enhancement algorithms and their output image quality. To this end, we have created a benchmark, including images enhanced by different algorithms and ground truth image quality obtained by human perception experiments. We statistically analyse the impact of various enhancement algorithms on the perceived quality of underwater images. Also, the visual quality provided by these algorithms is evaluated objectively, aiming to inform the development of objective metrics for automatic assessment of the quality for underwater image enhancement. The image quality benchmark and its objective metric are made publicly available.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Computer Science & Informatics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
ISSN: 1520-9210
Date of First Compliant Deposit: 19 April 2021
Date of Acceptance: 7 April 2021
Last Modified: 08 Oct 2021 15:14
URI: http://orca.cardiff.ac.uk/id/eprint/140543

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