Publications

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Author Title Type [ Year(Desc)]
Filters: Author is Stefania Petra  [Clear All Filters]
2011
A. Nicola, Petra, S., Popa, C., and Schnörr, C., A general extending and constraining procedure for linear iterative methods, Int.~J.~Comp.~Math., 2011.PDF icon Technical Report (633.79 KB)
F. Becker, Wieneke, B., Petra, S., Schröder, A., and Schnörr, C., Variational Adaptive Correlation Method for Flow Estimation, IEEE Transactions on Image Processing, vol. 21, 6, pp. 3053 - 3065, 2011.
F. Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., Variational Image Denoising with Adaptive Constraint Sets, in Proceedings of the 3nd International Conference on Scale Space and Variational Methods in Computer Vision 2011, in press, 2011, vol. 6667, pp. 206-217.
2013
S. Petra, Schnörr, C., Becker, F., and Lenzen, F., B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems, in Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013, 2013, vol. 7893, pp. 110-124.PDF icon Technical Report (1.15 MB)
S. Petra, Schnörr, C., Becker, F., and Lenzen, F., B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems, in Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision SSVM, 2013, pp. 110-124.
F. Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., A class of quasi-variational inequalities for adaptive image denoising and decomposition, Computational Optimization and Applications, vol. 54, pp. 371-398, 2013.PDF icon Technical Report (748.66 KB)
F. Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., A Class of Quasi-Variational Inequalities for Adaptive Image Denoising and Decomposition, Computational Optimization and Applications (COAP), vol. 54 (2), pp. 371-398, 2013.
S. Petra, Schnörr, C., and Schröder, A., Critical Parameter Values and Reconstruction Propertiesof Discrete Tomography: Application to Experimental FluidDynamics, Fundamenta Informaticae, vol. 125, p. 285--312, 2013.PDF icon Technical Report (1.42 MB)