A joint image super‐resolution network for multiple degradations removal via complementary transformer and convolutional neural network
Abstract While recent years have witnessed the unprecedented success of deep convolutional neural networks (CNNs) and vision transformers in single‐image super‐resolution (SISR), the degradation assumptions are simple and usually bicubic downsampling. Thus, their performances will drop dramatically...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Wiley
2024-04-01
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| Col·lecció: | IET Image Processing |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1049/ipr2.13030 |
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