45 citations · 166 across the 20 of their papers we have counts for
3 papers · 1 filter
Coupled regularization with multiple data discrepancies
Martin Holler, Richard Huber, Florian Knoll
We consider a class of regularization methods for inverse problems where a coupled regularization is employed for the simultaneous reconstruction of data from multiple sources. App…
A function space framework for structural total variation regularization with applications in inverse problems
Michael Hintermüller, Martin Holler, Kostas Papafitsoros
In this work, we introduce a function space setting for a wide class of structural/weighted total variation (TV) regularization methods motivated by their applications in inverse p…
Total Generalized Variation for Manifold-valued Data
K. Bredies, M. Holler, M. Storath +1
In this paper we introduce the notion of second-order total generalized variation (TGV) regularization for manifold-valued data in a discrete setting. We provide an axiomatic appro…