The Munich Image Processing and Analysis Forum (MIPAF)

The Munich Image Processing and Analysis Forum (MIPAF) aims to collect information about research activities related to mathematical image processing in Munich. This page is still under construction.

To post an entry write an email to storath@ma.tum.de .

Talks and Events

October 2011

• PIA11 - Photogrammetric Image Analysis, October 05-07, 2011, Munich, Germany

Former talks and events

Seminars

• tum.reconstruction, TUM-wide working/study group on 'Medical Image Reconstruction'
• Oberseminar Mathematische Methoden in der Bildverarbeitung

Articles and Books

Adaptive Geometrical Representations

• L. Demaret, A. Iske, Anisotropic Triangulation Methods in Image Approximation, in Algorithms for Approximation, E.H. Georgoulis, A. Iske, and J. Levesley (eds.), Springer-Verlag, Berlin, 47-68, Sept. 2010
• F. Friedrich, L. Demaret, H. Führ, K. Wicker, Efficient Moment Computation Over Polygonal Domains with an Application to Rapid Wedgelet Approximation, SIAM J. Scientific Computing 29(2): 842-863, 2007
• L. Demaret, N. Dyn, A. Iske, Image Compression by Linear Splines over Adaptive Triangulations, Signal Processing Journal 86 (7), July 2006, 1604-1616

Computerized Tomography

• J. Frikel. A new framework for sparse regularization in limited angle x-ray tomography.  IEEE International Symposium on Biomedical Imaging: From Nano to Macro, p. 824 - 827, 14 - 17 April 2010.
• F. Filbir, R. Hielscher, W.R. Madych, Reconstruction from circular and spherical mean data.  Applied and Computational Harmonic Analysis (2009) pp. 1-10

Stochastic Image Analysis

• G. Winkler. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction.  Spinger, 2003

Segmentation and Tracking

Wavelets and Approximation

• Brigitte Forster, Splines and Multiresolution Analysis , O. Scherzer (Ed.): Handbook of Mathematical Methods in Imaging. Springer. (1231-1270)
• M. Storath. Directional Multiscale Amplitude and Phase Decompostion by the Monogenic Curvelet Transform.  SIAM Journal on Imaging Sciences, Vol. 4, No. 1, pp. 57–78, 2011.
• S. Held, M. Storath, P. Massopust, and B. Forster. Steerable wavelet frames based on the Riesz transform.  IEEE Transactions on Image Processing, Volume: 19 , Issue: 3, 2010, p. 653 - 667.
• Brigitte Forster, Dimitri Van De Ville, Jesse Berent, Daniel Sage, Michael Unser, Complex B-Splines Wavelets for Extended Depth-of-Field: A New Method for the Fusion of Multi-Channel Microscopy Images,  Microscopy Research and Technique 65, 2004 (33-42)

Software

Adaptive Geometrical Representations

• Wedgelets 

Computerized Tomography

Stochastic Image Analysis

• AntsInFields,  Framework for (stochastic) image analysis and statistical simulation.

Segmentation and Tracking

• MasTracker for ImageJ, Cell tracking plugin for ImageJ

Wavelets and Approximation

• Monogenic Wavelet Toolbox for ImageJ, Multiscale amplitude and phase decomposition with monogenic wavelet frames

Research Groups

Academia

• MAMEBIA - Mathematical Methods in Biological Image Analysis,  TU München, Head: Prof. Dr. B. Forster
• Harmonical Analysis and Inverse Problems,   Helmholtz Zentrum München, Head: Prof. Dr. R. Lasser
• Approximation Theory,   Helmholtz Zentrum München, Head: Dr. F. Filbir
• Stochastic Modelling and Statistics , Helmholtz Zentrum München, Head: Prof. Dr. G. Winkler

Industry

Links

Contact

• Prof. Dr. Brigitte Forster-Heinlein
• Martin Storath