Ronny Ramlau

According to our database, Ronny Ramlau authored at least 35 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PhaseNet: A Deep Learning Based Phase Reconstruction Method for Ground-Based Astronomy.

Dihan Zheng, Shiqi Tang, Roland R. Wagner, Ronny Ramlau, Chenglong Bao, Raymond H. Chan

SIAM J. Imaging Sci., 2024

Regularization of Linear Inverse Problems with Irregular Noise Using Embedding Operators.

Xinyan Li, Simon Hubmer, Shuai Lu, Ronny Ramlau

SIAM J. Imaging Sci., 2024

On Phase Unwrapping via Digital Wavefront Sensors.

Simon Hubmer, Victoria Hutterer, Ronny Ramlau, Ekaterina Sherina, Bernadett Stadler

CoRR, 2024

Singular Value and Frame Decomposition-based Reconstruction for Atmospheric Tomography.

Lukas Weissinger, Simon Hubmer, Bernadett Stadler, Ronny Ramlau

CoRR, 2024

On some analytic properties of the atmospheric tomography operator: Non-Uniqueness and reconstructability issues.

Ronny Ramlau, Bernadett Stadler

CoRR, 2024

High fidelity adaptive mirror simulations with reduced order models.

Bernadett Stadler, Roberto Biasi, Mauro Manetti, Andreas Obereder, Ronny Ramlau, Matteo Tintori

CoRR, 2024

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

Lukas Weissinger, Simon Hubmer, Ronny Ramlau, Henning Uwe Voss

CoRR, 2024

2023

Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach.

Simon Hubmer, Ekaterina Sherina, Ronny Ramlau, Michael Pircher, Rainer A. Leitgeb

SIAM J. Imaging Sci., December, 2023

A Projected Nesterov-Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology.

Fabian Hinterer, Simon Hubmer, Prashin Jethwa, Kirk M. Soodhalter, Glenn van de Ven, Ronny Ramlau

SIAM J. Imaging Sci., March, 2023

A Statistical Approach for Improving HVOF Coating: Predictive Modelling of Critical Variables using Generalized Linear Models.

Wolfgang Rannetbauer, Simon Hubmer, Carina Hambrock, Ronny Ramlau

CoRR, 2023

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

Simon Hubmer, Ekaterina Sherina, Ronny Ramlau, Michael Pircher, Rainer A. Leitgeb

CoRR, 2023

2022

Performance of an iterative wavelet reconstructor for the Multi-conjugate Adaptive Optics RelaY of ESO's ELT.

Bernadett Stadler, Ronny Ramlau

CoRR, 2022

Direction dependent point spread function reconstruction for multi-conjugate adaptive optics on giant segmented mirror telescopes.

Roland R. Wagner, D. Saxenhuber, Ronny Ramlau, Simon Hubmer

Astron. Comput., 2022

2021

Subspace Recycling-Based Regularization Methods.

Ronny Ramlau, Kirk M. Soodhalter, Victoria Hutterer

SIAM J. Matrix Anal. Appl., 2021

Lanczos-based fast blind deconvolution methods.

Laura Dykes, Ronny Ramlau, Lothar Reichel, Kirk M. Soodhalter, Roland Wagner

J. Comput. Appl. Math., 2021

On Regularization via Frame Decompositions with Applications in Tomography.

Simon Hubmer, Ronny Ramlau, Lukas Weissinger

CoRR, 2021

Parallel implementation of an iterative solver for atmospheric tomography.

Bernadett Stadler, Roberto Biasi, Mauro Manetti, Ronny Ramlau

Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021

2020

Reconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics System.

Rihuan Ke, Roland Wagner, Ronny Ramlau, Raymond H. Chan

SIAM J. Imaging Sci., 2020

Estimating solution smoothness and data noise with Tikhonov regularization.

Daniel Gerth, Ronny Ramlau

CoRR, 2020

An augmented wavelet reconstructor for atmospheric tomography.

Ronny Ramlau, Bernadett Stadler

CoRR, 2020

A mathematical approach towards THz tomography for non-destructive imaging.

Simon Hubmer, Alexander Ploier, Ronny Ramlau, Peter Fosodeder, Sandrine van Frank

CoRR, 2020

Frame Decompositions of Bounded Linear Operators in Hilbert Spaces with Applications in Tomography.

Simon Hubmer, Ronny Ramlau

CoRR, 2020

Real-time implementation of an iterative solver for atmospheric tomography.

Bernadett Stadler, Roberto Biasi, Mauro Manetti, Ronny Ramlau

CoRR, 2020

A Frame Decomposition of the Atmospheric Tomography Operator.

Simon Hubmer, Ronny Ramlau

CoRR, 2020

A note on the minimization of a Tikhonov functional with 𝓁¹-penalty.

Fabian Hinterer, Simon Hubmer, Ronny Ramlau

CoRR, 2020

2018

A Semiblind Regularization Algorithm for Inverse Problems with Application to Image Deblurring.

Alessandro Buccini, Marco Donatelli, Ronny Ramlau

SIAM J. Sci. Comput., 2018

2017

A Singular-Value-Type Decomposition for the Atmospheric Tomography Operator.

Andreas Neubauer, Ronny Ramlau

SIAM J. Appl. Math., 2017

2013

Regularization Properties of Mumford-Shah-Type Functionals with Perimeter and Norm Constraints for Linear Ill-Posed Problems.

Esther Klann, Ronny Ramlau

SIAM J. Imaging Sci., 2013

2012

A singular value decomposition for the Shack-Hartmann based wavefront reconstruction.

Stefan Kindermann, Andreas Neubauer, Ronny Ramlau

J. Comput. Appl. Math., 2012

Inverse problems: Computation and applications.

Abderrahman Bouhamidi, Khalide Jbilou, Ronny Ramlau, Lothar Reichel, Hassane Sadok, Fiorella Sgallari

J. Comput. Appl. Math., 2012

2009

The application of joint sparsity and total variation minimization algorithms to a real-life art restoration problem.

Massimo Fornasier, Ronny Ramlau, Gerd Teschke

Adv. Comput. Math., 2009

2007

A Mumford-Shah level-set approach for the inversion and segmentation of X-ray tomography data.

Ronny Ramlau, Wolfgang Ring

J. Comput. Phys., 2007

2006

A Tikhonov-based projection iteration for nonlinear Ill-posed problems with sparsity constraints.

Ronny Ramlau, Gerd Teschke

Numerische Mathematik, 2006

2001

An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection.

Peter Maaß, Sergei V. Pereverzev, Ronny Ramlau, Sergei G. Solodky

Numerische Mathematik, 2001

1996

Wavelet-accelerated regularization methods for hyperthermia treatment planning.

Peter Maass, Ronny Ramlau

Int. J. Imaging Syst. Technol., 1996