activity
20172026
most citedPhase-contrast THz-CT for non-destructive testing

51 citations · 176 across the 31 of their papers we have counts for

collaborators

32 papers

math.NA2026

On Fourier Phase Retrieval from Differential Intensity Measurements with Applications to Wavefront Sensing

Simon Hubmer, Lukas Weissinger, Ronny Ramlau +1

In this paper, we consider Fourier phase retrieval from differential intensity measurements, i.e., the problem of determining the phase of a complex-valued function from a series o…

astro-ph.GA2025

3D Full Spectrum Fitting: Algorithm Comparison

Prashin Jethwa, Simon Hubmer, Ronny Ramlau +1

Full spectrum fitting is the prevailing method for extracting stellar kinematic and population measurements from 1D galaxy spectra. 3D methods refer to analysis of Integral Field S…

math.NA2025

A Geometrical Acoustics based Focusing Algorithm for Layered Media in Medical Ultrasound

Simon Hackl, Simon Hubmer, Ronny Ramlau

Ultrasound imaging is a widely used, non-invasive diagnostic tool in modern medicine. A crucial assumption is a constant sound speed in the observed medium. For large scale sound s…

astro-ph.IM2025

Singular Value-based Atmospheric Tomography with Fourier Domain Regularization (SAFR)

Lukas Weissinger, Simon Hubmer, Bernadett Stadler +1

Atmospheric tomography, the problem of reconstructing atmospheric turbulence profiles from wavefront sensor measurements, is an integral part of many adaptive optics systems. It is…

math.NA2025

On the Intensity-based Inversion Method for Quantitative Quasi-Static Elastography

Ekaterina Sherina, Simon Hubmer

In this paper, we consider the intensity-based inversion method (IIM) for quantitative material parameter estimation in quasi-static elastography. In particular, we consider the pr…

cs.LG2025

Leveraging Real-Time Data Analysis and Multiple Kernel Learning for Manufacturing of Innovative Steels

Wolfgang Rannetbauer, Simon Hubmer, Carina Hambrock +1

The implementation of thermally sprayed components in steel manufacturing presents challenges for production and plant maintenance. While enhancing performance through specialized…

math.OC2025

A Practical Guide to Optimizing Industrial Thermal Spraying through Comparative Multi-Objective Optimization

Wolfgang Rannetbauer, Simon Hubmer, Carina Hambrock +1

Achieving both high quality and cost-efficiency are two critical yet often conflicting objectives in manufacturing and maintenance processes. Quality standards vary depending on th…

math.NA2024

On SCD Semismooth Newton methods for the efficient minimization of Tikhonov functionals with non-smooth and non-convex penalties

Helmut Gfrerer, Simon Hubmer, Ronny Ramlau

We consider the efficient numerical minimization of Tikhonov functionals with nonlinear operators and non-smooth and non-convex penalty terms, which appear for example in variation…

math.NA2024

On Phase Unwrapping via Digital Wavefront Sensors

Simon Hubmer, Victoria Laidlaw, Ronny Ramlau +2

In this paper, we derive a new class of methods for the classic 2D phase unwrapping problem of recovering a phase function from its wrapped form. For this, we consider the wrapped…

math.NA2024

Singular Value and Frame Decomposition-based Reconstruction for Atmospheric Tomography

Lukas Weissinger, Simon Hubmer, Bernadett Stadler +1

Atmospheric tomography, the problem of reconstructing atmospheric turbulence profiles from wavefront sensor measurements, is an integral part of many adaptive optics systems used f…

math.NA2024

An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain

Lukas Weissinger, Simon Hubmer, Ronny Ramlau +1

Cardiac pulsations in the human brain have received recent interest due to their possible role in the pathogenesis of neurodegenerative diseases. Further interest stems from their…

math.NA2024

Regularization of linear inverse problems with irregular noise using embedding operators

Xinyan Li, Simon Hubmer, Shuai Lu +1

In this paper, we investigate regularization of linear inverse problems with irregular noise. In particular, we consider the case that the noise can be preprocessed by certain adjo…

stat.AP2023★ 1 cited

Predictive Modelling of Critical Variables for Improving HVOF Coating using Gamma Regression Models

Wolfgang Rannetbauer, Simon Hubmer, Carina Hambrock +1

Thermal spray coating is a critical process in many industries, involving the application of coatings to surfaces to enhance their functionality. This paper proposes a framework fo…

physics.optics2023

Subaperture-based Digital Aberration Correction for OCT: A Novel Mathematical Approach

Simon Hubmer, Ekaterina Sherina, Ronny Ramlau +2

In this paper, we consider subaperture-based approaches for the digital aberration correction (DAC) of optical coherence tomography (OCT) images. In particular, we introduce a math…

physics.optics2022★ 1 cited

Localization of fixed dipoles at high precision by accounting for sample drift during illumination

Fabian Hinterer, Magdalena C. Schneider, Simon Hubmer +3

Single molecule localization microscopy relies on the precise quantification of the position of single dye emitters in a sample. This precision is improved by the number of photons…

math.NA2022

A projected Nesterov-Kaczmarz approach to stellar population-kinematic distribution reconstruction in Extragalactic Archaeology

Fabian Hinterer, Simon Hubmer, Prashin Jethwa +3

In this paper, we consider the problem of reconstructing a galaxy's stellar population-kinematic distribution function from optical integral field unit measurements. These quantiti…

math.NA2022

A numerical comparison of some heuristic stopping rules for nonlinear Landweber iteration

Simon Hubmer, Ekaterina Sherina, Stefan Kindermann +1

The choice of a suitable regularization parameter is an important part of most regularization methods for inverse problems. In the absence of reliable estimates of the noise level,…

math.NA2022

Characterizations of Adjoint Sobolev Embedding Operators with Applications in Inverse Problems

Simon Hubmer, Ekaterina Sherina, Ronny Ramlau

We consider the Sobolev embedding operator and its role in the solution of inverse problems. In particular, we collect various properties and investigate…

math.NA2021★ 11 cited

On Regularization via Frame Decompositions with Applications in Tomography

Simon Hubmer, Ronny Ramlau, Lukas Weissinger

In this paper, we consider linear ill-posed problems in Hilbert spaces and their regularization via frame decompositions, which are generalizations of the singular-value decomposit…

physics.optics2021

Robust and bias-free localization of individual fixed dipole emitters achieving the Cramér Rao bound

Fabian Hinterer, Magdalena C. Schneider, Simon Hubmer +5

Single molecule localization microscopy has the potential to resolve structural details of biological samples at the nanometer length scale. However, to fully exploit the resolutio…

math.NA2021

Challenges for Optical Flow Estimates in Elastography

Ekaterina Sherina, Lisa Krainz, Simon Hubmer +2

In this paper, we consider visualization of displacement fields via optical flow methods in elastographic experiments consisting of a static compression of a sample. We propose an…

physics.app-ph2021★ 51 cited

Phase-contrast THz-CT for non-destructive testing

Peter Fosodeder, Simon Hubmer, Alexander Ploier +3

A new approach for image reconstruction in THz computed tomography (THz-CT) is presented. Based on a geometrical optics model containing the THz signal amplitude and phase, a novel…

astro-ph.IM2020

Direction dependent Point spread function reconstruction for Multi-Conjugate Adaptive Optics on Giant Segmented Mirror Telescopes

Roland Wagner, Daniela Saxenhuber, Ronny Ramlau +1

Modern Giant Segmented Mirror Telescopes (GSMT) like the Extremely Large Telescope (ELT), currently under construction depend heavily on Adaptive Optics (AO) systems to correct for…

math.NA2020★ 1 cited

A mathematical approach towards THz tomography for non-destructive imaging

Simon Hubmer, Alexander Ploier, Ronny Ramlau +2

In this paper, we consider the imaging problem of terahertz (THz) tomography, in particular as it appears in non-destructive testing. We derive a nonlinear mathematical model descr…