3 papers
math.OC2025
Denoising Multi-Color QR Codes and Stiefel-Valued Data by Relaxed Regularizations
Robert Beinert, Jonas Bresch
The handling of manifold-valued data, for instance, plays a central role in color restoration tasks relying on circle- or sphere-valued color models, in the study of rotational or…
math.NA2024
Max-Normalized Radon Cumulative Distribution Transform for Limited Data Classification
Matthias Beckmann, Robert Beinert, Jonas Bresch
The Radon cumulative distribution transform (R-CDT) exploits one-dimensional Wasserstein transport and the Radon transform to represent prominent features in images. It is closely…
math.NA2024
Denoising Sphere-Valued Data by Relaxed Total Variation Regularization
Robert Beinert, Jonas Bresch
Circle- and sphere-valued data play a significant role in inverse problems like magnetic resonance phase imaging and radar interferometry, in the analysis of directional informatio…