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ORCIDMathematical Methods for Signal and Image Analysis and Representation, 2012
- Luc Florack, Remco Duits, Geurt Jongbloed, Marie-Colette van Lieshout, Laurie Davies:
Mathematical Methods for Signal and Image Analysis and Representation. Computational Imaging and Vision 41, Springer 2012, ISBN 978-1-4471-2352-1 - Hanno Scharr
, Kai Krajsek:
A Short Introduction to Diffusion-Like Methods. 1-30 - Michael Felsberg:
Adaptive Filtering Using Channel Representations. 31-48 - Bernhard Burgeth, Luis Pizarro, Stephan Didas, Joachim Weickert:
3D-Coherence-Enhancing Diffusion Filtering for Matrix Fields. 49-63 - Jörg Polzehl, Karsten Tabelow:
Structural Adaptive Smoothing: Principles and Applications in Imaging. 65-81 - Yaniv Gur, Ofer Pasternak, Nir A. Sochen:
SPD Tensors Regularization via Iwasawa Decomposition. 83-100 - Laurent Demaret, Armin Iske, Wahid Khachabi:
Sparse Representation of Video Data by Adaptive Tetrahedralizations. 101-121 - Hartmut Führ:
Continuous Diffusion Wavelet Transforms and Scale Space over Euclidean Spaces and Noncommutative Lie Groups. 123-136 - Remco Duits, Hartmut Führ, Bart J. Janssen:
Left Invariant Evolution Equations on Gabor Transforms. 137-158 - Luc Florack:
Scale Space Representations Locally Adapted to the Geometry of Base and Target Manifold. 159-171 - Markus van Almsick:
An A Priori Model of Line Propagation. 173-191 - Maxime Boucher, Alan C. Evans:
Local Statistics on Shape Diffeomorphisms Using a Depth Potential Function. 193-206 - Yves Rozenholc, Markus Reiß:
Preserving Time Structures While Denoising a Dynamical Image. 207-219 - Xavier Descombes:
Interacting Adaptive Filters for Multiple Objects Detection. 221-239 - Michal Haindl:
Visual Data Recognition and Modeling Based on Local Markovian Models. 241-259 - Michal Matuszak, Tomasz Schreiber:
Locally Specified Polygonal Markov Fields for Image Segmentation. 261-274 - Jean-Michel Loubes, Paul Rochet:
Regularization with Approximated L 2 Maximum Entropy Method. 275-290
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