FDSR : An Interpretable Frequency Division Stepwise Process Based Single-Image Super-Resolution Network
Deep learning has excelled in single-image super-resolution (SISR) applications, yet the lack of interpretability in most deep learning-based SR networks hinders their applicability, especially in fields like medical imaging that require transparent computation. To address these problems, we present...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 28., Seite 1710-1725
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| 1. Verfasser: |
Xu, Pengcheng
(VerfasserIn) |
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| Weitere Verfasser: |
Liu, Qun,
Bao, Huanan,
Zhang, Ruhui,
Gu, Lihua,
Wang, Guoyin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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