Laurent Hoeltgen
Laurent Hoeltgen
No Affiliation
Verified email at laurenthoeltgen.name - Homepage
Title
Cited by
Cited by
Year
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
432013
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
222016
Optimising spatial and tonal data for PDE-based inpainting
L Hoeltgen, M Mainberger, S Hoffmann, J Weickert, CH Tang, S Setzer, ...
Variational Methods, M. Bergounioux, G. Peyré, C. Schnörr, J.-B. Caillau …, 2017
182017
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
132015
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
122015
Clustering-based quantisation for PDE-based image compression
L Hoeltgen, P Peter, M Breuß
Signal, Image and Video Processing 12 (3), 411-419, 2018
62018
Optimised photometric stereo via non-convex variational minimisation
L Hoeltgen, Y Quéau, M Breuß, G Radow
62016
Theoretical foundation of the weighted Laplace inpainting problem
L Hoeltgen, A Kleefeld, I Harris, M Breuß
Applications of Mathematics 64 (3), 281-300, 2019
52019
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 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
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, 1-13, 2020
12020
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
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
12019
A Study of Spectral Expansion for Shape Correspondence
R Dachsel, M Breuß, L Hoeltgen
Proceedings of the OAGM, 73-79, 2018
12018
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Articles 1–20