activity
20152017
most citedPriors with Coupled First and Second Order Differences for Manifold-Valued Image Processing

26 citations · 42 across the 4 of their papers we have counts for

collaborators

7 papers

math.NA2017★ 26 cited

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…

math.NA2017

Strain Analysis by a Total Generalized Variation Regularized Optical Flow Model

Frank Balle, Tilmann Beck, Dietmar Eifler +3

In this paper we deal with the important problem of estimating the local strain tensor from a sequence of micro-structural images realized during deformation tests of engineering m…

math.NA2017

Unsupervised Multi Class Segmentation of 3D Images with Intensity Inhomogeneities

Jan Henrik Fitschen, Katharina Losch, Gabriele Steidl

Intensity inhomogeneities in images constitute a considerable challenge in image segmentation. In this paper we propose a novel biconvex variational model to tackle this task. We c…

math.NA2016★ 16 cited

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…

math.NA2015

Transport between RGB Images Motivated by Dynamic Optimal Transport

Jan Henrik Fitschen, Friederike Laus, Gabriele Steidl

We propose two models for the interpolation between RGB images based on the dynamic optimal transport model of Benamou and Brenier [8]. While the application of dynamic optimal tra…

math.NA2015

Removal of Curtaining Effects by a Variational Model with Directional Forward Differences

Jan Henrik Fitschen, Jianwei Ma, Sebastian Schuff

Focused ion beam (FIB) tomography provides high resolution volumetric images on a micro scale. However, due to the physical acquisition process the resulting images are often corru…