Deep-learning-based ring artifact correction for tomographic reconstruction
X-ray tomography has been widely used in various research fields thanks to its capability of observing 3D structures with high resolution non-destructively. However, due to the nonlinearity and inconsistency of detector pixels, ring artifacts usually appear in tomographic reconstruction, which may c...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Union of Crystallography
2023-05-01
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| Series: | Journal of Synchrotron Radiation |
| Subjects: | |
| Online Access: | http://scripts.iucr.org/cgi-bin/paper?S1600577523000917 |