Mathematical Methods for Signal and Image Analysis and Representation

1. A Short Introduction to Diffusion-Like Methods
Hanno Scharr, Kai Krajsek

2. Adaptive Filtering Using Channel Representations
Michael Felsberg

3. 3D-Coherence-Enhancing Diffusion Filtering for Matrix Fields
Bernhard Burgeth, Luis Pizarro, Stephan Didas, Joachim Weickert

4. Structural Adaptive Smoothing: Principles and Applications in Imaging
Jörg Polzehl, Karsten Tabelow

5. SPD Tensors Regularization via Iwasawa Decomposition
Yaniv Gur, Ofer Pasternak, Nir Sochen

6. Sparse Representation of Video Data by Adaptive Tetrahedralizations
Laurent Demaret, Armin Iske, Wahid Khachabi

7. Continuous Diffusion Wavelet Transforms and Scale Space over Euclidean Spaces and Noncommutative Lie Groups
Hartmut Führ

8. Left Invariant Evolution Equations on Gabor Transforms
Remco Duits, Hartmut Führ, Bart Janssen

9. Scale Space Representations Locally Adapted to the Geometry of Base and Target Manifold
Luc Florack

10. An A Priori Model of Line Propagation
Markus Almsick

11. Local Statistics on Shape Diffeomorphisms Using a Depth Potential Function
Maxime Boucher, Alan Evans

12. Preserving Time Structures While Denoising a Dynamical Image
Yves Rozenholc, Markus Reiß

13. Interacting Adaptive Filters for Multiple Objects Detection
Xavier Descombes

14. Visual Data Recognition and Modeling Based on Local Markovian Models
Michal Haindl

15. Locally Specified Polygonal Markov Fields for Image Segmentation
Michal Matuszak, Tomasz Schreiber

16. Regularization with Approximated L
2 Maximum Entropy Method
Jean-Michel Loubes, Paul Rochet

Keywords: Mathematics, Mathematics, general, Image Processing and Computer Vision, Mathematical Applications in Computer Science