Carola-Bibiane Schönlieb
Carola-Bibiane Schönlieb
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Zitiert von
Zitiert von
A combined first and second order variational approach for image reconstruction
K Papafitsoros, CB Schönlieb
Journal of mathematical imaging and vision 48 (2), 308-338, 2014
Cahn–Hilliard inpainting and a generalization for grayvalue images
M Burger, L He, CB Schönlieb
SIAM Journal on Imaging Sciences 2 (4), 1129-1167, 2009
Learning to diversify deep belief networks for hyperspectral image classification
P Zhong, Z Gong, S Li, CB Schönlieb
IEEE Transactions on Geoscience and Remote Sensing 55 (6), 3516-3530, 2017
Unconditionally stable schemes for higher order inpainting
A Bertozzi, CB Schönlieb
Communications in Mathematical Sciences 9 (2), 413-457, 2011
Image denoising: learning the noise model via nonsmooth PDE-constrained optimization
JC De los Reyes, CB Schönlieb
Inverse Problems & Imaging 7 (4), 1183, 2013
Stochastic primal-dual hybrid gradient algorithm with arbitrary sampling and imaging applications
A Chambolle, MJ Ehrhardt, P Richtárik, CB Schonlieb
SIAM Journal on Optimization 28 (4), 2783-2808, 2018
Imaging with Kantorovich--Rubinstein Discrepancy
J Lellmann, DA Lorenz, C Schonlieb, T Valkonen
SIAM Journal on Imaging Sciences 7 (4), 2833-2859, 2014
Combined first and second order total variation inpainting using split Bregman
K Papafitsoros, CB Schoenlieb, B Sengul
Image Processing On Line 3, 112-136, 2013
Partial differential equation methods for image inpainting
CB Schönlieb
Cambridge University Press, 2015
Subspace Correction Methods for Total Variation and -Minimization
M Fornasier, CB Schönlieb
SIAM Journal on Numerical Analysis 47 (5), 3397-3428, 2009
A convergent overlapping domain decomposition method for total variation minimization
M Fornasier, A Langer, CB Schönlieb
Numerische Mathematik 116 (4), 645-685, 2010
Oriented diffusion filtering for enhancing low-quality fingerprint images
C Gottschlich, CB Schönlieb
IET biometrics 1 (2), 105-113, 2012
Phase reconstruction from velocity-encoded MRI measurements–a survey of sparsity-promoting variational approaches
M Benning, L Gladden, D Holland, CB Schönlieb, T Valkonen
Journal of Magnetic Resonance 238, 26-43, 2014
Solving inverse problems using data-driven models
S Arridge, P Maass, O Öktem, CB Schönlieb
Acta Numerica 28, 1-174, 2019
Bilevel parameter learning for higher-order total variation regularisation models
JC De los Reyes, CB Schönlieb, T Valkonen
Journal of Mathematical Imaging and Vision 57 (1), 1-25, 2017
Variational depth from focus reconstruction
M Moeller, M Benning, C Schönlieb, D Cremers
IEEE Transactions on Image Processing 24 (12), 5369-5378, 2015
Total variation regularization in measurement and image space for PET reconstruction
M Burger, J Müller, E Papoutsellis, CB Schönlieb
Inverse Problems 30 (10), 105003, 2014
Regularized regression and density estimation based on optimal transport
M Burger, M Franek, CB Schönlieb
Applied Mathematics Research eXpress 2012 (2), 209-253, 2012
Adversarial regularizers in inverse problems
S Lunz, O Öktem, CB Schönlieb
Advances in Neural Information Processing Systems, 8507-8516, 2018
Bilevel approaches for learning of variational imaging models
L Calatroni, C Cao, JC De Los Reyes, CB Schönlieb, T Valkonen
Variational Methods: In Imaging and Geometric Control 18 (252), 2, 2017
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