45 citations · 166 across the 20 of their papers we have counts for
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math.OC2017★ 10 cited
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…
math.OC2017★ 27 cited
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…