Follow
Markus Grasmair
Markus Grasmair
Department of Mathematical Sciences, NTNU Trondheim
Verified email at math.ntnu.no
Title
Cited by
Cited by
Year
Variational methods in imaging, volume 167 of Applied Mathematical Sciences
O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen
Springer, New York, 2009
875*2009
Sparse regularization with lq penalty term
M Grasmair, M Haltmeier, O Scherzer
Inverse Problems 24 (5), 055020, 2008
2302008
Spatial segmentation of imaging mass spectrometry data with edge-preserving image denoising and clustering
T Alexandrov, M Becker, S Deininger, G Ernst, L Wehder, M Grasmair, ...
Journal of proteome research 9 (12), 6535-6546, 2010
2172010
Necessary and sufficient conditions for linear convergence of ℓ1‐regularization
M Grasmair, O Scherzer, M Haltmeier
Communications on Pure and Applied Mathematics 64 (2), 161-182, 2011
1722011
Anisotropic total variation filtering
M Grasmair, F Lenzen
Applied Mathematics & Optimization 62, 323-339, 2010
1372010
Generalized Bregman distances and convergence rates for non-convex regularization methods
M Grasmair
Inverse problems 26 (11), 115014, 2010
1212010
Locally adaptive total variation regularization
M Grasmair
International Conference on Scale Space and Variational Methods in Computer …, 2009
772009
Linear convergence rates for Tikhonov regularization with positively homogeneous functionals
M Grasmair
Inverse Problems 27 (7), 075014, 2011
572011
Non-convex sparse regularisation
M Grasmair
Journal of Mathematical Analysis and Applications 365 (1), 19-28, 2010
532010
Well-posedness and convergence rates for sparse regularization with sublinear penalty term
M Grasmair
Inverse Problems and Imaging 3 (3), 383-387, 2009
512009
The residual method for regularizing ill-posed problems
M Grasmair, M Haltmeier, O Scherzer
Applied Mathematics and Computation 218 (6), 2693-2710, 2011
502011
The equivalence of the taut string algorithm and BV-regularization
M Grasmair
Journal of Mathematical Imaging and Vision 27, 59-66, 2007
502007
Landmark-guided elastic shape analysis of human character motions
M Bauer, M Eslitzbichler, M Grasmair
arXiv preprint arXiv:1502.07666, 2015
342015
Variational inequalities and higher order convergence rates for Tikhonov regularisation on Banach spaces
M Grasmair
Journal of Inverse and Ill-Posed Problems 21 (3), 379-394, 2013
342013
Regularization of linear ill-posed problems by the augmented Lagrangian method and variational inequalities
K Frick, M Grasmair
Inverse Problems 28 (10), 104005, 2012
252012
Applied Mathematical Sciences
O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen
Variational methods in imaging 167, 2009
232009
Variational multiscale nonparametric regression: Smooth functions
M Grasmair, H Li, A Munk
192018
A non-convex PDE scale space
M Grasmair, F Lenzen, A Obereder, O Scherzer, M Fuchs
Scale Space and PDE Methods in Computer Vision: 5th International Conference …, 2005
162005
Identifiability and reconstruction of shapes from integral invariants
T Fidler, M Grasmair, O Scherzer
Inverse Problems and Imaging 2 (3), 341-354, 2008
152008
Shape reconstruction with a priori knowledge based on integral invariants
T Fidler, M Grasmair, O Scherzer
SIAM Journal on Imaging Sciences 5 (2), 726-745, 2012
142012
The system can't perform the operation now. Try again later.
Articles 1–20