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Dr. Hendrik Dirks


I am no longer working at the University of Münster, but you can sill contact me via email:
 mail at hendrik-dirks dot de

Hendrik Dirks

Research Interest
  • Optical Flow
  • Joint Image Reconstruction and Motion Estimation
  • Segmentation
  • Inpainting

Downloads All of the following packages are freely available as public repositories at Github. In case of experiencing any problems, please create an issue request on the corresponding Github page.
Name: Description:
HistoGUI MATLAB tool for histomorphometric analysis of vertebrae images
MotionEstimationGUI MATLAB toolbox for variational motion estimation including C-MEX implementations. Implementational details can be found in my Ph.D. thesis
First Order Denoising MATLAB toolbox for variational first order denoising and inpainting
Joint Motion Estimation and Image Reconstruction MATLAB implementation of the Joint Motion Estimation and Image Reconstruction Framework proposed in my Ph.D. thesis
FlexBox FlexBox is a flexible MATLAB toolbox for finite dimensional convex variational problems in image processing and beyond.

Teaching

Personal Information

Publications
2016
A Variational Model for Joint Motion Estimation and Image Reconstruction 1607.03255v1.pdf
arXiv e-prints - 2016

Multiframe Motion Coupling via Infimal Convolution Regularization for Video Super Resolution 1611.07767.pdf
Hendrik Dirks, Jonas Geiping, Daniel Cremers, Michael Moeller
arXiv e-prints - 2016

Joint Large-Scale Motion Estimation and Image Reconstruction preprint.pdf
arXiv e-prints - 2016

Adaptive Parameter Balancing for Composite Optimization Problems in Imaging
Hendrik Dirks, Martin Burger, Byung-Woo Hong, Ja-Keoung Koo
arXiv e-prints - 2016

A Flexible Primal-Dual Toolbox 1603.05835v1.pdf
arXiv e-prints - 2016
 
2015
On Optical Flow Models for Variational Motion Estimation 1512.00298v1.pdf
Martin Burger, Hendrik Dirks, Lena Frerking
- december 2015

Variational Methods for Joint Motion Estimation and Image Reconstruction digitalFinal.pdf
Institute for Computational and Applied Mathematics University of Muenster - june 2015
 
2013
Inverse problems in imaging
Large Scale Inverse Problems. Computational Methods and Applications in the Earth Sciences (M. Cullen, MA Freitag, S. Kindermann, and R. Scheichl, eds.), Radon Ser. Comput. Appl. Math pages 135--180 vol. 13 - 2013
 
2011
Medical Image Segmentation including Particle Methods DiplomarbeitDirks.pdf
Institute for Computational and Applied Mathematics University of Muenster - september 2011
 
2010
3D Large Scale Pneumographic Myocardial Structure Analysis - Advanced Denoising, Motion and Level-Set Techniques
Universitaet Muenster, ETH Zuerich submitted to Bildverarbeitung fuer die Medizin, Luebeck, 2011 - october 2010


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