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Mathematical Imaging and Digital Media
(5 May – 27 Jun 2008)
Organizing Committee
· Confirmed Visitors
· Overview
· Activities · Membership Application
Co-chairs
- Tony Chan (The National Science Foundation, USA)
- Zuowei Shen (National University of Singapore)
Members
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Say Song Goh (National University of Singapore)
- Hui Ji (National University of Singapore)
- Seng Luan Lee (National University of Singapore)
- Andy M. Yip (National University of Singapore)
Mathematical imaging is a
multidisciplinary field that synergizes many areas of
science, technology and mathematics to provide solid
foundation, new ideas and techniques and understanding of
almost every aspect of imaging science ranging from hardware
design to image enhancement, from image representation to
image understanding, and from modeling of pattern formation
to synthesis of artistic graphics.
Digital media comprises hardware and software systems that
enable real-time human-machine interaction. It involves a
wide range of technologies that cut across various
disciplines in sciences, mathematics, engineering and
computer sciences with applications in diverse fields,
including communications, education, medicine, finance,
games, entertainment and lifestyle.
Despite the distinctiveness of the two diversified fields,
mathematical imaging and digital media share many
commonalities when it comes to the use of mathematical
theory and computational tools. The purpose of this program
is to conduct multidisciplinary studies involving
mathematical perspectives and foundation of imaging science
and digital media. In particular, the program emphasizes on
the applications in imaging science and digital media of the
recent developments in the areas of approximation and
wavelet theory, numerical analysis and scientific computing,
and statistical and data analysis. The focus will be on the
following themes.
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Mathematical Imaging and Digital Media: Mathematical methods
for computer graphics, computer vision, mesh generation,
image restoration and reconstruction, image enhancement,
image segmentation, object detection, image decomposition,
image representation, image compression.
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Wavelet Theory and Applications: Sparse data representation
and approximation by wavelets and redundant systems, noise
removal, stochastic wavelet analysis, inverse problems via
wavelet methods.
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Workshops:
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Chinese-French-Singaporean Joint Workshop on Wavelet Theory
and Applications, 9 – 13 Jun 2008
Organizing Committee
Co-chairs
Albert Cohen (Université Pierre et Marie Curie, France)
Stéphane Jaffard (Université Paris XII, France)
Zuowei Shen (National University of Singapore)
Lihua Yang (Sun Yat-Sen University, China)
Members
Say Song Goh (National University of Singapore)
Seng Luan Lee (National University of Singapore)
Song Li (Zhejiang University, China)
This workshop is a joint event between wavelet groups from China,
France and Singapore. The aim is to communicate new
developments and to explore research collaborations among
researchers from the three countries in the areas of sparse
data representation and approximation by wavelets and
redundant systems, noise removal, stochastic wavelet
analysis, and inverse problems via wavelet methods.
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Workshop on Mathematical Imaging and Digital Media, 16 – 20
Jun 2008
Organizing Committee
Co-chairs
Stanley Osher (University of California, Los Angeles, USA)
Zuowei Shen (National University of Singapore)
Members
Hui Ji (National University of Singapore)
Andy M. Yip (National University of Singapore)
The aim of this workshop is to bring together researchers in
various aspects in mathematical image processing and digital
image to share the latest developments of the diversified
field of image processing and digital media and to leverage
the synergy between different research groups. The
particular focuses of the workshop are the topics of
computer graphics, computer vision, image restoration, image
segmentation, computer vision, image representation, and
image compression. International experts who employ
mathematical methods, such as PDE, variational, wavelet and
stochastic methods, in these topics will deliver talks on
their latest research.
- Summer School:
26 May – 20 Jun 2008
The Summer School brings together senior undergraduate
students and graduate students to the study of mathematical
imaging and digital media and their applications. It
consists of three weeks of tutorials and student oriented
seminars. It covers basic mathematical theory of imaging,
PDE and variational methods, wavelet methods and
applications to digital media and biomedical imaging.
Introduction to mathematical imaging (26 - 30 May 2008)
Parametric and
nonparametric active contours for image segmentation and
registration with applications in medical image analysis by Yunmei Chen, University of Florida, USA (26, 28, 30 May 2008)
Wavelet methods for image processing by Charles Chui, University of Missouri, St. Louis, USA & Stanford University, USA (2 - 5 Jun 2008)
Graph-cut methods for image processing by Jerome Darbon, University of California, Los Angeles, USA (2, 4, 6 Jun 2008)
Summer School
application form is available in (MSWord|PDF|PS) format for download (Application is closed)
For attendance at these activities, please complete the
online registration form.
The following do not need to register:
The Institute for Mathematical Sciences
invites applications for membership for participation in the
above program. Funds to cover travel and living
expenses are available to young scientists. Applications
should be received at least three (3) months before the
commencement of membership. Application form is available in
(MSWord|PDF|PS) format for download.
- More information is available by writing to:
- Secretary
Institute for Mathematical Sciences
National University of Singapore
3 Prince George's Park
Singapore 118402
Republic of Singapore
- or email to imssec(AT)nus.edu.sg.
For enquiries on scientific aspects of the program, please
email Zuowei Shen at
matzuows(AT)nus.edu.sg.
Organizing Committee
· Confirmed Visitors
· Overview
· Activities · Membership Application
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