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ABOUT THE CONFERENCE
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application process. See “Conference Information” for a link to the
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Themes
- Image acquisition and formation
- Image restoration and reconstruction
- Image modeling and analysis
- Image understanding
- Biomedical imaging
- Inverse problems in imaging sciences
- Statistical aspects in image processing
- Image segmentation, inpainting and registration
- Mathematics of visualization
- PDEs in image processing
- Novel imaging methods
- Applications
Funding
SIAM and the Conference Organizing Committee wish to extend their
thanks and appreciation to the Office of Naval Research for its support
of this conference.
Description
Current developments in the technology of imaging have led to an
explosive growth in the interdisciplinary field of imaging science. With
the advent of new devices capable of seeing objects and structures not
previously imagined, the reach of science and medicine has been extended
in a multitude of different ways. The impact of this technology has been
to generate new challenges associated with the problems of formation,
acquisition, compression, transmission, and analysis of images. By their
very nature, these challenges cut across the disciplines of physics,
engineering, mathematics, biology, medicine, and statistics. While the
primary purpose of this conference is to focus on mathematical issues, the
biomedical aspects of imaging will also play an important role.
Conference Co-Chairs
Ron Kimmel, Technion-Israel Institute of Technology, Israel Frank
Natterer, University of Münster, Germany Stan Osher, University of
California, Los Angeles Fadil Santosa, University of
Minnesota
Organizing Committee
Antonin Chambolle, CMAP, Ecole Polytechnique, Palaiseau, France
Margaret Cheney, Rensselaer Polytechnic Institute Adel Faridani,
Oregon State University Gabor Herman, City University of New York
Nikos Paragios, C.E.R.T.I.S., Ecole Nationale des Ponts et Chaussee,
France Martin Rumpf, Gerhard-Mercator-Universität Duisburg, Germany
Peter Schröder, California Institute of Technology Harry Shum,
Microsoft Research Asia William Symes, Rice University Luminita
Vese, University of California, Los Angeles
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