Abstract is missing.
- A Short Introduction to Diffusion-Like MethodsHanno Scharr, Kai Krajsek. 1-30 [doi]
- Adaptive Filtering Using Channel RepresentationsMichael Felsberg. 31-48 [doi]
- 3D-Coherence-Enhancing Diffusion Filtering for Matrix FieldsBernhard Burgeth, Luis Pizarro, Stephan Didas, Joachim Weickert. 49-63 [doi]
- Structural Adaptive Smoothing: Principles and Applications in ImagingJörg Polzehl, Karsten Tabelow. 65-81 [doi]
- SPD Tensors Regularization via Iwasawa DecompositionYaniv Gur, Ofer Pasternak, Nir A. Sochen. 83-100 [doi]
- Sparse Representation of Video Data by Adaptive TetrahedralizationsLaurent Demaret, Armin Iske, Wahid Khachabi. 101-121 [doi]
- Continuous Diffusion Wavelet Transforms and Scale Space over Euclidean Spaces and Noncommutative Lie GroupsHartmut Führ. 123-136 [doi]
- Left Invariant Evolution Equations on Gabor TransformsRemco Duits, Hartmut Führ, Bart Janssen. 137-158 [doi]
- Scale Space Representations Locally Adapted to the Geometry of Base and Target ManifoldLuc Florack. 159-171 [doi]
- An A Priori Model of Line PropagationMarkus van Almsick. 173-191 [doi]
- Local Statistics on Shape Diffeomorphisms Using a Depth Potential FunctionMaxime Boucher, Alan C. Evans. 193-206 [doi]
- Preserving Time Structures While Denoising a Dynamical ImageYves Rozenholc, Markus Reiß. 207-219 [doi]
- Interacting Adaptive Filters for Multiple Objects DetectionXavier Descombes. 221-239 [doi]
- Visual Data Recognition and Modeling Based on Local Markovian ModelsMichal Haindl. 241-259 [doi]
- Locally Specified Polygonal Markov Fields for Image SegmentationMichal Matuszak, Tomasz Schreiber. 261-274 [doi]
- Regularization with Approximated L 2 Maximum Entropy MethodJean-Michel Loubes, Paul Rochet. 275-290 [doi]