"AM-FM Image Models and Applications"
Prof. Alan C. Bovik
UT Austin
Friday, April 23th, 2:00 PM, ENS 302
bovik@ece.utexas.edu
Abstract
In this talk, I will discuss new Amplitude- and Frequency-
Modulation (AM-FM) Models for image processing and analysis
that my group has been developing over the past few years. The idea
is similar to, and related to, the idea of Fourier analysis:
signals and images can be expressed as sums of global sinusoidal
functions. However, images in particular tend to be highly
nonstationary, meaning that the local structure of an image
may be poorly described by a global model such as the Fourier
decomposition. The local frequency content may vary
considerably over space and/or time. AM-FM functions are
sinusoidal functions whose amplitudes and frequencies change
over space. Thus, they may be used to capture nonstationarities
in a fluid and natural way. I will define and describe AM-FM
models, and their interpretation within a linear systems framework.
I will also describe methods for extracting AM-FM representations
from images. Finally, I will present several successful application
domains of AM-FM models, including image segmentation, flow analysis,
shape computation, computed stereopsis, compression, and
digital fingerprint analysis.
Biography
Alan Conrad Bovik is currently a Professor in the
Department of Electrical and Computer Engineering
at the University of Texas at Austin, where he is
the Associate Director of the Center for Vision
and Image Sciences.
He is currently the Editor-in-Chief of the IEEE Transactions
on Image Processing, and was the Founding General Chairman
of the IEEE International Conference on Image Processing.
He was the winner of the 1998 IEEE Signal Processing Society
Meritorious Service Award.
His current research interests include digital video,
image processing, wavelets, 3-D microscopy, and computational
aspects of biological visual perception.
A list of Signal and Image Processing Seminars is available at
from the ECE department Web pages under "Seminars".
The Web address for the Signal and Image Processing Seminars is
http://anchovy.ece.utexas.edu/seminars