most citedUncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction

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math.NA2023

Data-proximal null-space networks for inverse problems

Simon Göppel, Jürgen Frikel, Markus Haltmeier

Inverse problems are inherently ill-posed and therefore require regularization techniques to achieve a stable solution. While traditional variational methods have well-established…

math.NA2023

Translation invariant diagonal frame decomposition for the Radon transform

Simon Göppel, Markus Haltmeier, Jürgen Frikel

In this article, we address the challenge of solving the ill-posed reconstruction problem in computed tomography using a translation invariant diagonal frame decomposition (TI-DFD)…