SwinCNet leveraging Swin Transformer V2 and CNN for precise color correction and detail enhancement in underwater image restoration

SwinCNet leveraging Swin Transformer V2 and CNN for precise color correction and detail enhancement in underwater image restoration

Underwater image restoration confronts three major challenges: color distortion, contrast degradation, and detail blurring caused by light absorption and scattering. Current methods face difficulties in effectively balancing local detail preservation with global information integration. This study p...

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Bibliographic Details
Main Authors: Chun Yang, Liwei Shao, Yi Deng, Jiahang Wang, Hexiang Zhai
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Marine Science
Subjects:
Swin Transformer V2
CNN
underwater image restoration
precise color correction
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2025.1523729/full
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