| 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 | 36 | 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 | 30 | 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 | 16 | 2016 |
| Theoretical foundation of the weighted laplace inpainting problem L Hoeltgen, A Kleefeld, I Harris, M Breuss Applications of mathematics 64, 281-300, 2019 | 11 | 2019 |
| Clustering-based quantisation for PDE-based image compression L Hoeltgen, P Peter, M Breuß Signal, Image and Video Processing 12, 411-419, 2018 | 10 | 2018 |
| 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 | 8 | 2021 |
| Optimised photometric stereo via non-convex variational minimisation L Hoeltgen, Y Quéau, M Breuß, G Radow British Machine Vision Association (BMVA), 2016 | 8 | 2016 |
| 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 regularisation of matrix valued models for acoustic source characterisation 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 |
| Understanding image inpainting with the help of the Helmholtz equation L Hoeltgen Mathematical Sciences 11 (1), 73-77, 2017 | 4 | 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 |
| 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 |
| Analytic existence and uniqueness results for PDE-based image reconstruction with the Laplacian L Hoeltgen, I Harris, M Breuß, A Kleefeld Scale Space and Variational Methods in Computer Vision: 6th International …, 2017 | 2 | 2017 |
Michael BreußProfessor for Applied Mathematics, BTU Cottbus-Senftenberg在 tu-cottbus.de 的电子邮件经过验证
Michael BreußProfessor for Applied Mathematics, BTU Cottbus-Senftenberg在 tu-cottbus.de 的电子邮件经过验证
Andreas KleefeldProfessor and Research Assistant在 fz-juelich.de 的电子邮件经过验证