TDPN : Texture and Detail-Preserving Network for Single Image Super-Resolution
Single image super-resolution (SISR) using deep convolutional neural networks (CNNs) achieves the state-of-the-art performance. Most existing SISR models mainly focus on pursuing high peak signal-to-noise ratio (PSNR) and neglect textures and details. As a result, the recovered images are often perc...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 03., Seite 2375-2389
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| Auteur principal: |
Cai, Qing
(Auteur) |
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| Autres auteurs: |
Li, Jinxing,
Li, Huafeng,
Yang, Yee-Hong,
Wu, Feng,
Zhang, David |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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