Efficient Underwater Image Super-Resolution via Learnable Color Conversion and Dual-Branch Mamba Network

Underwater image super-resolution plays an important role in marine exploration, as it aims to recover clearer and higher-resolution images from degraded low-resolution observations. However, in underwater environments, this task is particularly challenging due to non-uniform spectral attenuation an...

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Detalles Bibliográficos

Autores principales:	Yu-Yang Lin, Wan-Jen Huang, Chia-Hung Yeh, Yi-Shiuan Yang, Chua-Chin Wang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2026-06-01
Colección:	Journal of Marine Science and Engineering
Materias:	underwater image restoration deep learning supervised learning super resolution
Acceso en línea:	https://www.mdpi.com/2077-1312/14/13/1210
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