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Data driven regularization by projection (vol 36, 125009, 2020)
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DOI：10.1088/1361-6420/ae2b9f.png)
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Abstract
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We study the stability of regularization by projection for solving linear inverse problems if the forward operator is given indirectly but specified via some input-output training pairs. We extend the approach in Aspri et al (2020 Inverse Problems 36 125009) to data pairs, which are noisy and, possibly, linearly dependent.
Keywords:
data driven regularization
variational regularization
regularization by projection
inverse problems
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