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DMF-Net: Dynamic Multiscale Feature Fusion for Underwater Image Enhancement | Synapse
March 3, 2026
DMF-Net: Dynamic Multiscale Feature Fusion for Underwater Image Enhancement
CP
Chao Pan
Jiangsu University of Science and Technology
YX
Y. C. Xu
Changchun University of Science and Technology
XW
Xun Wang
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Puntos clave
Enhanced visual quality in underwater images is achieved through improved processing techniques.
Key evidence indicates a significant improvement in clarity with a 30% increase in contrast over standard methods.
Analysis using deep learning algorithms highlights the effectiveness of dynamic multiscale feature fusion.
This approach supports advancements in underwater imaging, essential for marine biology and exploration.
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Cite This Study
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Pan et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75bc2c6e9836116a23b12
https://doi.org/https://doi.org/10.1007/s00034-025-03471-5