The Weizmann Institute of Science
Faculty of Mathematics and Computer Science
Vision and Robotics Seminar
Michael Elad
Computer Science Department
Technion
will speak on
Sparse and redundant signal representation,
and its role in image processing
Abstract:
In signal/image and data processing in general, we often use transforms in
order to simplify operations or to enable better treatment to the given data. A
recent trend in these fields is the use of overcomplete linear transforms that
lead to a sparse description of signals. This new breed of methods is more
difficult to use, often requiring more computations. Still, they are much more
effective in applications such as signal compression and inverse problems. In
fact, much of the success attributed to the wavelet transform in recent years,
is directly related to the above-mentioned trend.
In this talk I will present a survey of this recent path of research, and its
main results. I will discuss both the theoretic and the applicative sides to
this field. No previous knowledge is assumed (... just common sense, and little
bit of linear algebra).
The lecture will take place in the
Lecture Hall, Room 1, Ziskind Building
on Thursday, December 14, 2006
12:00 - 13:00