Learning-Based Image Restorations of Sparse-View CT Data: Is It Reliable?
Learning-based methods for the restoration of computed tomography (CT) images promise very good image quality even in areas with insufficient data sampling and thus suggest enormous savings in measurement time. This work shows by means of restorations of sparse-view CT data that such methods must...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | deu |
| Published: |
NDT.net
2025-02-01
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| Series: | e-Journal of Nondestructive Testing |
| Online Access: | https://www.ndt.net/search/docs.php3?id=30734 |
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