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| Publications, subproject 07 | BiBTeX |
Mongraph
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O. Scherzer, M. Grasmair, H. Grossauer, M. Haltmeier, and F. Lenzen.
Variational Methods in Imaging.
Springer, 2007.
submitted.
Journal articles
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M. Grasmair and A. Obereder.
Generalizations of the taut string method.
Numerical Functional Analysis and Optimization 29/3 (2008),
346-361.
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T. Fidler, M. Grasmair, and O. Scherzer.
Identifiability and reconstruction of shapes from integral invariants.
Inverse Problems and Imaging 2/3 (2008), 341-354.
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M. Fuchs, B. Jüttler, O. Scherzer, and H. Yang.
Combined
evolution of level sets and B-spline curves for imaging.
Computing and Visualization in Science (2008), to appear.
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M. Fuchs and O. Scherzer.
Regularized reconstruction of shapes with statistical a priori knowledge.
International Journal of Computer Vision 79/2 (2008), 119-135.
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M. Burger, K. Frick, S. Osher, and O. Scherzer.
Inverse total variation flow.
Multiscale Model. Simul. 6/2 (2007), 366-395.
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T. Fidler, M. Grasmair, H. Pottmann, and O. Scherzer.
Inverse problems of integral invariants and shape signatures.
(2007), submitted.
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B. Hofmann, B. Kaltenbacher, C. Pöschl, and O. Scherzer.
A convergence rates result for Tikhonov regularization in Banach spaces
with non-smooth operators.
Inverse Problems 23/3 (2007), 987-1010.
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F. Frühauf and H. Grossauer.
Solving constraint ill-posed problems using ginzburg-landau regularization
functionals.
Journal of Inverse and Ill-posed Problems (2007), accepted.
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M. Haltmeier, R. Kowar, A. Leitao, and O. Scherzer.
Kaczmarz methods for regularizing nonlinear ill-posed equations II:
Applications.
Inverse Problems and Imaging 1 (2007), 507-523.
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M. Haltmeier, A. Leitao, and O. Scherzer.
Kaczmarz methods for regularizing nonlinear ill-posed equations I:
Convergence analysis.
Inverse Problems and Imaging 1 (2007), 289-298.
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B. Hofmann, Kaltenbacher, C. Pöschl, and O. Scherzer.
A convergence rates result in banach spaces with non-smooth operators.
Inverse Problems 23 (2007), 987-1010.
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A. Obereder, O. Scherzer, and A. Kovac.
Bivariate density estimation using BV regularisation.
Computational Statistics and Data Analysis (2007), to appear.
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E. Resmerita and O. Scherzer.
Error estimates for non-quadratic regularization and the relation to enhancing.
Inverse Problems 22 (2006), 801-814.
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F. Lenzen, O. Scherzer, and S. Schindler.
Robust reconstruction from chopped and nodded images.
Astronomy & Astrophysics 443 (2005), 1087- 1093.
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O. Scherzer, W. Yin, and S. Osher.
Slope and G-Set Characterization of Set-Valued Functions and Applications to
Non-Differentiable Optimization Problems.
Comm. Math. Sci. 3 (2005), 479-492.
Refereed articles in books and conference
proceedings
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C. Pöschl and O. Scherzer.
Characterization of minimizers of convex regularization functionals.
In AMS-SIAM Special Session on Frames and Operator Theory in Analysis and
Signal Processing, number 451 in Contemporary Mathematics, pages 219-248,
2008.
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J. Abhau, W. Hinterberger, and O. Scherzer.
Segmenting surfaces of arbitrary topology: A two-step approach.
In S. Y. Emelianov and S. A. McAleavey, editors, Medical Imaging 2007:
Ultrasonic Imaging and Signal Processing, volume 6513 of Proceedings
of SPIE, San Diego, CA, 2007.
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K. Frick and O. Scherzer.
Applications of non-convex BV regularization for image segmentation.
In X.-C. Tai, K.-A. Lie, T. F. Chan, and S. Osher, editors, Image
Processing Based on Partial Differential Equations, Mathematics and
Visualization, pages 211-228, New York, 2007. Springer Verlag.
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K. Frick and O. Scherzer.
Convex inverse scale spaces.
(2007), 313-325, Lecture Notes in Computer Science 4485.
Technical Reports
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M. Grasmaier.
Convex regularization methods with non-uniform total variation
penalization.
Technical Report 57, FSP 092: Joint Research Program of Industrial Geometry,
October 2007.
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S. Colutto, F. Frühauf, M. Fuchs, and O. Scherzer.
The
CMA-ES on Riemannian manifolds to reconstruct shapes in 3D voxel
images.
Technical Report 70, FSP 092: Joint Research Program of Industrial Geometry,
May 2008.
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T. Fidler, M. Grasmair, H. Pottmann, and O. Scherzer.
Inverse problems of integral invariants and shape signatures.
Technical report, FSP report no. 40, 2007.
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M. Fuchs and O. Scherzer.
Segmentation of biologic image data with a-priori knowledge.
Technical report, FSP report no. 52, 2007.
(This subproject was merged with subproject 3 after the
first funding period)
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