Iterative Regularization via Dual Diagonal Descent
In the context of linear inverse problems, we propose and study a general iterative regularization method allowing to consider large classes of data-fit terms and regularizers. The algorithm we propose is based on a primal-dual diagonal descent method. Our analysis establishes convergence as well as...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer US,
2018-02-22T19:48:36Z.
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| Subjects: | |
| Online Access: | Get fulltext |