An optimal control approach to find sparse data for Laplace interpolation L Hoeltgen, S Setzer, J Weickert
Energy Minimization Methods in Computer Vision and Pattern Recognition: 9th …, 2013
64 2013 Evaluating the true potential of diffusion-based inpainting in a compression context P Peter, S Hoffmann, F Nedwed, L Hoeltgen, J Weickert
Signal Processing: Image Communication 46, 40-53, 2016
33 2016 Optimising spatial and tonal data for PDE-based inpainting L Hoeltgen, M Mainberger, S Hoffmann, J Weickert, CH Tang, S Setzer, ...
Variational Methods, 35-83, 2016
29 2016 Why does non-binary mask optimisation work for diffusion-based image compression? L Hoeltgen, J Weickert
Energy Minimization Methods in Computer Vision and Pattern Recognition: 10th …, 2015
19 2015 From optimised inpainting with linear PDEs towards competitive image compression codecs P Peter, S Hoffmann, F Nedwed, L Hoeltgen, J Weickert
Image and Video Technology: 7th Pacific-Rim Symposium, PSIVT 2015, Auckland …, 2016
15 2016 Theoretical foundation of the weighted laplace inpainting problem L Hoeltgen, A Kleefeld, I Harris, M Breuß
Applications of mathematics 64, 281-300, 2019
9 2019 Clustering-based quantisation for PDE-based image compression L Hoeltgen, P Peter, M Breuß
Signal, Image and Video Processing 12, 411-419, 2018
9 2018 Optimised photometric stereo via non-convex variational minimisation L Hoeltgen, Y Quéau, M Breuß, G Radow
British Machine Vision Association (BMVA), 2016
8 2016 Towards PDE-based video compression with optimal masks prolongated by optic flow M Breuß, L Hoeltgen, G Radow
Journal of Mathematical Imaging and Vision 63 (2), 144-156, 2021
7 2021 Optimisation of classic photometric stereo by non-convex variational minimisation G Radow, L Hoeltgen, Y Quéau, M Breuß
Journal of Mathematical Imaging and Vision 61, 84-105, 2019
6 2019 Sparse L Hoeltgen, M Breuß, G Herold, E Sarradj
Optimization and Engineering 19, 39-70, 2018
6 2018 Shape matching by time integration of partial differential equations R Dachsel, M Breuß, L Hoeltgen
Scale Space and Variational Methods in Computer Vision: 6th International …, 2017
6 2017 The classic wave equation can do shape correspondence R Dachsel, M Breuß, L Hoeltgen
Computer Analysis of Images and Patterns: 17th International Conference …, 2017
4 2017 Matrix-valued levelings for colour images M Breuß, L Hoeltgen, A Kleefeld
Mathematical Morphology and Its Applications to Signal and Image Processing …, 2017
4 2017 Optimal interpolation data for image reconstructions LA Hoeltgen
4 2014 Understanding image inpainting with the help of the Helmholtz equation L Hoeltgen
Mathematical Sciences 11 (1), 73-77, 2017
3 2017 Bregman iteration for correspondence problems: A study of optical flow L Hoeltgen, M Breuß
arXiv preprint arXiv:1510.01130, 2015
3 2015 Intermediate flow field filtering in energy based optic flow computations L Hoeltgen, S Setzer, M Breuß
Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th …, 2011
3 2011 Bregman iteration for optical flow L Hoeltgen
Master’s thesis, Saarland University, 2010
3 2010 A Study of Spectral Expansion for Shape Correspondence R Dachsel, M Breuß, L Hoeltgen
Proceedings of OAGM Workshop, 73-79, 2018
2 2018 
Michael BreußProfessor for Applied Mathematics, BTU Cottbus-SenftenbergAdresse e-mail validée de tu-cottbus.de
