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20062024
most citedSparse Regularization with Penalty Term

180 citations · 1.3k across the 95 of their papers we have counts for

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Showing 2017 · math.NAShow all

5 papers · 2 filters

math.NA2017★ 32 cited

A New Sparsification and Reconstruction Strategy for Compressed Sensing Photoacoustic Tomography

Markus Haltmeier, Michael Sandbichler, Thomas Berer +3

Compressed sensing (CS) is a promising approach to reduce the number of measurements in photoacoustic tomography (PAT) while preserving high spatial resolution. This allows to incr…

math.NA2017

Compressive Time-of-Flight 3D Imaging Using Block-Structured Sensing Matrices

Stephan Antholzer, Christoph Wolf, Michael Sandbichler +2

Spatially and temporally highly resolved depth information enables numerous applications including human-machine interaction in gaming or safety functions in the automotive industr…

math.NA2017★ 20 cited

The Averaged Kaczmarz Iteration for Solving Inverse Problems

Housen Li, Markus Haltmeier

We introduce a new iterative regularization method for solving inverse problems that can be written as systems of linear or non-linear equations in Hilbert spaces. The proposed ave…

math.NA2017

Operator learning approach for the limited view problem in photoacoustic tomography

Florian Dreier, Sergiy Pereverzyev, Markus Haltmeier

In photoacoustic tomography, one is interested to recover the initial pressure distribution inside a tissue from the corresponding measurements of the induced acoustic wave on the…

math.NA2017★ 17 cited

Iterative Methods for Photoacoustic Tomography in Attenuating Acoustic Media

Markus Haltmeier, Richard Kowar, Linh V. Nguyen

The development of efficient and accurate reconstruction methods is an important aspect of tomographic imaging. In this article, we address this issue for photoacoustic tomography.…