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: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer US
2018
|
| Online Access: | http://hdl.handle.net/1721.1/113873 https://orcid.org/0000-0001-6376-4786 |