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- Partial Differential Equations
- Mathematical Morphology
- Inpainting with Partial Differential Equations
- Image Compression
Conference Papers
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K. Schaefer, J. Weickert:
Diffusion-shock inpainting.
L. Calatroni, M. Donatelli, S. Morigi, M. Prato, M. Santavesaria (Eds.): Scale Space and Variational Methods in Computer Vision. Lecture Notes in Computer Science, Springer, Cham, 2023.
Also available as arXiv:2303.09450 [eess.IV], March 2023. -
K. Schaefer, J. Weickert:
Stabilised Inverse Flowline Evolution for Anisotropic Image Sharpening.
Proc. 10th European Workshop on Visual Information Processing (EUVIP 2022, Lisbon, Portugal, Sept. 2022), IEEE, 2022.
Also available as arXiv:2207.09779 [eess.IV], July 2022.
Journal Papers
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K. Schaefer, J. Weickert:
Regularised Diffusion-Shock Inpainting
To appear in Journal of Mathematical Imaging and Vision.
Invited Paper.
arXiv:2309.08761 [eess.IV], revised December 2023.
Talks
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K. Schaefer, J. Weickert:
Designing and Analysing General Morphological Derivative Approximations.
GAMM 2022, Section 21 Mathematical Signal and Image Processing Aachen, August 15-19, 2022.
Theses
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K. Schaefer:
Analyzing and Extending Shock Filters
M.Sc. Thesis in Computer Science,
Saarland University, Saarbrücken, Germany, November 2020.
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K. Schaefer: Morphological Differentiation
B.Sc. Thesis in Computer Science,
Saarland University, Saarbrücken, Germany, February 2019.
Courses
- Winter term 2024/25:
Proseminar Nature-Inspired Optimisation
Seminar Inpainting: Foundations and Recent Advances
- Summer term 2024:
Assistent of the lecture Mathematics for Computer Scientists 2
- Winter term 2023/34:
Lecture Mathematical Morphology in Image Analysis
- Summer term 2023:
Proseminar Simulation der Welt
Seminar Probabilistic Diffusion: Theory and Applications
- Winter term 2022/23:
Seminar Inpainting in Image Analysis
Proseminar Analysis jenseits von Leibniz und Newton - Summer term 2022:
Lecture Mathematical Morphology in Image Analysis
- Winter term 2021 / 2022:
Proseminar Simulation der Welt
Tutorial Organisation for Differential Equations in Image Processing and Computer Vision - Summer term 2020:
Proseminar Naturinspirierte Optimierung