A vision transformer based CNN for underwater image enhancement ViTClarityNet

A vision transformer based CNN for underwater image enhancement ViTClarityNet

Abstract Underwater computer vision faces significant challenges from light scattering, absorption, and poor illumination, which severely impact underwater vision tasks. To address these issues, ViT-Clarity, an underwater image enhancement module, is introduced, which integrates vision transformers...

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Bibliographic Details
Main Authors: Mohamed E. Fathy, Samer A. Mohamed, Mohammed I. Awad, Hossam E. Abd El Munim
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Convolutional neural networks
Generative adversarial
Underwater image enhancement
Vision transformer
Synthetic dataset
Online Access:https://doi.org/10.1038/s41598-025-91212-8
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https://doi.org/10.1038/s41598-025-91212-8

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