32 citations · 32 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
Total Variation Minimization in Compressed Sensing
Felix Krahmer, Christian Kruschel, Michael Sandbichler
This chapter gives an overview over recovery guarantees for total variation minimization in compressed sensing for different measurement scenarios. In addition to summarizing the r…
Online and Stable Learning of Analysis Operators
Michael Sandbichler, Karin Schnass
In this paper four iterative algorithms for learning analysis operators are presented. They are built upon the same optimisation principle underlying both Analysis K-SVD and Analys…