41 citations · 95 across the 5 of their papers we have counts for
8 papers
Recent Advances in Denoising of Manifold-Valued Images
Ronny Bergmann, Friederike Laus, Johannes Persch +1
Modern signal and image acquisition systems are able to capture data that is no longer real-valued, but may take values on a manifold. However, whenever measurements are taken, no…
Regularization of Inverse Problems via Time Discrete Geodesics in Image Spaces
Sebastian Neumayer, Johannes Persch, Gabriele Steidl
This paper addresses the solution of inverse problems in imaging given an additional reference image. We combine a modification of the discrete geodesic path model for image metamo…
Morphing of Manifold-Valued Images inspired by Discrete Geodesics in Image Spaces
Sebastian Neumayer, Johannes Persch, Gabriele Steidl
This paper addresses the morphing of manifold-valued images based on the time discrete geodesic paths model of Berkels, Effland and Rumpf 2015. Although for our manifold-valued set…
Priors with Coupled First and Second Order Differences for Manifold-Valued Image Processing
Ronny Bergmann, Jan Henrik Fitschen, Johannes Persch +1
Recently variational models with priors involving first and second order derivatives resp. differences were successfully applied for image restoration. There are several ways to in…
A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics
Friederike Laus, Mila Nikolova, Johannes Persch +1
Nonlocal patch-based methods, in particular the Bayes' approach of Lebrun, Buades and Morel (2013), are considered as state-of-the-art methods for denoising (color) images corrupte…
Iterative Multiplicative Filters for Data Labeling
Ronny Bergmann, Jan Henrik Fitschen, Johannes Persch +1
Based on an idea in [4] we propose a new iterative multiplicative filtering algorithm for label assignment matrices which can be used for the supervised partitioning of data. Start…