collaborators

6 papers

math.NA2020

Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography

Lukas Kiefer, Stefania Petra, Martin Storath +1

We consider reconstructing multi-channel images from measurements performed by photon-counting and energy-discriminating detectors in the setting of multi-spectral X-ray computed t…

math.NA2018

Iterative Potts minimization for the recovery of signals with discontinuities from indirect measurements -- the multivariate case

Lukas Kiefer, Martin Storath, Andreas Weinmann

Signals and images with discontinuities appear in many problems in such diverse areas as biology, medicine, mechanics, and electrical engineering. The concrete data are often discr…

physics.med-ph2018

Bolus arrival time estimation in dynamic contrast-enhanced magnetic resonance imaging of small animals based on spline models

Alina L. Bendinger, Charlotte Debus, Christin Glowa +3

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is used to quantify perfusion and vascular permeability. In most cases a bolus arrival time (BAT) delay exists betwee…

math.NA2018

Wavelet Sparse Regularization for Manifold-Valued Data

Martin Storath, Andreas Weinmann

In this paper, we consider the sparse regularization of manifold-valued data with respect to an interpolatory wavelet/multiscale transform. We propose and study variational models…

math.NA2018

Smoothing for signals with discontinuities using higher order Mumford-Shah models

Martin Storath, Lukas Kiefer, Andreas Weinmann

Minimizing the Mumford-Shah functional is frequently used for smoothing signals or time series with discontinuities. A significant limitation of the standard Mumford-Shah model is…

cs.CV2018

Fast Piecewise-Affine Motion Estimation Without Segmentation

Denis Fortun, Martin Storath, Dennis Rickert +2

Current algorithmic approaches for piecewise affine motion estimation are based on alternating motion segmentation and estimation. We propose a new method to estimate piecewise aff…