17 citations · 19 across the 19 of their papers we have counts for
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Error Estimates for Data-driven Weakly Convex Frame-based Image Regularization
Andrea Ebner, Matthias Schwab, Markus Haltmeier
Inverse problems are fundamental in fields like medical imaging, geophysics, and computerized tomography, aiming to recover unknown quantities from observed data. However, these pr…
Full Field Inversion of the Attenuated Wave Equation: Theory and Numerical Inversion
Ngoc Do, Markus Haltmeier, Richard Kowar +2
Standard photoacoustic tomography (PAT) provides data that consist of time-dependent signals governed by the wave equation, which are measured on an observation surface. In contras…
Derivative-Free iterative One-Step Reconstruction for Multispectral CT
Thomas Prohaszka, Lukas Neumann, Markus Haltmeier
Image reconstruction in Multispectral Computed Tomography (MSCT) requires solving a challenging nonlinear inverse problem, commonly tackled via iterative optimization algorithms. E…
ECALL: Expectation-calibrated learning for unsupervised blind deconvolution
Markus Haltmeier, Gyeongha Hwang
Blind deconvolution aims to recover an original image from a blurred version in the case where the blurring kernel is unknown. It has wide applications in diverse fields such as as…
Breaking the Resolution limit in Photoacoustic Imaging using Positivity and Sparsity
Peter Burgholzer, Johannes Bauer-Marschallinger, Mike Hettich +1
In this tutorial, we aim to directly recreate some of our "aha" moments when exploring the impact of heat diffusion on the spatial resolution limit of photothermal imaging. Our obj…
Sampling and resolution in sparse view photoacoustic tomography
Markus Haltmeier, Daniel Obmann, Karoline Felbermayer +2
We investigate resolution in photoacoustic tomography (PAT). Using Shannon theory, we investigate the theoretical resolution limit of sparse view PAT theoretically, and empirically…