An attempt at underwater image lightweight super-resolution using transformer and frequency-domain learning

Lightweight image Super-resolution (SR) is a computer vision technology that aims to recover high-quality image details from low-resolution images with limited computing costs. While Transformer-based SR models have made remarkable advancements, their balanced edge-end deployment and reconstruction...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Haoran Wu, Haitao Wang, Yifan Zhang, Muhammad Yasir Faheem, Xinghua Wang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Frontiers Media S.A. 2026-05-01
Sarja:	Frontiers in Marine Science
Aiheet:	deep learning frequency learning lightweight image super-resolution single-image super-resolution underwater image
Linkit:	https://www.frontiersin.org/articles/10.3389/fmars.2026.1762772/full
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