Discretization of Learned NETT Regularization for Solving Inverse Problems
Deep learning based reconstruction methods deliver outstanding results for solving inverse problems and are therefore becoming increasingly important. A recently invented class of learning-based reconstruction methods is the so-called NETT (for Network Tikhonov Regularization), which contains a trai...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
MDPI AG
2021
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| Acceso en línea: | https://doaj.org/article/1eee8aedbed74d978d81e41441e9cb51 |
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