Paper Info
Title
Underwater Image Quality Assessment: Subjective and Objective Methods
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.
Year
DOI
Venue
2022
10.1109/TMM.2021.3074825
IEEE TRANSACTIONS ON MULTIMEDIA
Keywords
DocType
Volume
Image enhancement, Measurement, Histograms, Image color analysis, Image quality, Image restoration, Benchmark testing, Underwater image, image quality assessment, perception experiment, statistical analysis, objective metric
Journal
24
ISSN
Citations 
PageRank 
1520-9210
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Pengfei Guo121.70
Lang He2769.23
Shuangyin Liu301.35
Delu Zeng401.01
Hantao Liu532827.86