Laurent Hoeltgen
Laurent Hoeltgen
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Zitiert von
Zitiert von
Jahr
An optimal control approach to find sparse data for Laplace interpolation
L Hoeltgen, S Setzer, J Weickert
International Workshop on Energy Minimization Methods in Computer Vision and …, 2013
452013
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
232016
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, 2017
202017
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, 63-74, 2015
142015
Why Does Non-binary Mask Optimisation Work for Diffusion-based Image Compression?
L Hoeltgen, J Weickert
International Workshop on Energy Minimization Methods in Computer Vision and …, 2015
142015
Clustering-based quantisation for PDE-based image compression
L Hoeltgen, P Peter, M Breuß
Signal, Image and Video Processing 12 (3), 411-419, 2018
72018
Optimised photometric stereo via non-convex variational minimisation
L Hoeltgen, Y Quéau, M Breuß, G Radow
27th British Machine Vision Conference (BMVC 2016), pp. 1, 2016
72016
Theoretical foundation of the weighted Laplace inpainting problem
L Hoeltgen, A Kleefeld, I Harris, M Breuß
Applications of mathematics 64 (3), 281-300, 2019
62019
Matrix-valued levelings for colour images
M Breuß, L Hoeltgen, A Kleefeld
International Symposium on Mathematical Morphology and Its Applications to …, 2017
42017
Optimal interpolation data for image reconstructions
LA Hoeltgen
42014
Sparse ℓ 1 regularisation of matrix valued models for acoustic source characterisation
L Hoeltgen, M Breuß, G Herold, E Sarradj
Optimization and Engineering 19 (1), 39-70, 2018
32018
Shape matching by time integration of partial differential equations
R Dachsel, M Breuß, L Hoeltgen
International Conference on Scale Space and Variational Methods in Computer …, 2017
32017
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 (1), 84-105, 2019
22019
Analytic existence and uniqueness results for PDE-based image reconstruction with the Laplacian
L Hoeltgen, I Harris, M Breuß, A Kleefeld
International Conference on Scale Space and Variational Methods in Computer …, 2017
22017
Understanding image inpainting with the help of the Helmholtz equation
L Hoeltgen
Mathematical Sciences 11 (1), 73-77, 2017
22017
Intermediate flow field filtering in energy based optic flow computations
L Hoeltgen, S Setzer, M Breuß
International Workshop on Energy Minimization Methods in Computer Vision and …, 2011
22011
Bregman iteration for optical flow
L Hoeltgen
Master’s thesis, Saarland University, 2010
22010
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
12021
Towards PDE-based video compression with optimal masks and optic flow
L Hoeltgen, M Breuß, G Radow
International Conference on Scale Space and Variational Methods in Computer …, 2019
12019
A Study of Spectral Expansion for Shape Correspondence
R Dachsel, M Breuß, L Hoeltgen
Proceedings of the OAGM Workshop 2018 Medical Image Analysis, May 15-16 …, 2018
12018
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