Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis

Guo, Xiaojiao; Chen, Xuhang; Wang, Shuqiang; Pun, Chi‐Man

doi:10.1109/tcsvt.2025.3525593

articleIEEE Transactions on Circuits and Systems for Video TechnologyJan 6, 2025Closed access

Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis

XGXiaojiao GuoXCXuhang Chen SWShuqiang Wang CPChi‐Man Pun

University of Macau · Baoshan College · +2 more institutions

Indexed incrossref

Abstract

Underwater imaging grapples with challenges from light-water interactions, leading to color distortions and reduced clarity. In response to these challenges, we propose a novel Color Balance Prior Guided Hybrid Sense Underwater Image Restoration framework (GuidedHybSensUIR). This framework operates on multiple scales, employing the proposed Detail Restorer module to restore low-level detailed features at finer scales and utilizing the proposed Feature Contextualizer module to capture long-range contextual relations of high-level general features at a broader scale. The hybridization of these different scales of sensing results effectively addresses color casts and restores blurry details. In order to…

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46

total citations

FWCI: 47.58
Percentile: 100%
References: 72

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Authors

4

XG
Xiaojiao GuoCorresponding
University of Macau, Baoshan College
XC
Xuhang Chen
University of Macau, Shenzhen Institutes of Advanced Technology, Huizhou University
SW
Shuqiang Wang
Shenzhen Institutes of Advanced Technology
CP
Chi‐Man Pun
University of Macau

Topics & keywords

Topics

Keywords

Underwater
Image restoration
Benchmark (surveying)
Computer science
Artificial intelligence
Computer vision
Image (mathematics)
Image segmentation

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