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...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Frontiers Media S.A.
2026-05-01
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| Серія: | Frontiers in Marine Science |
| Предмети: | |
| Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/fmars.2026.1762772/full |
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