Regular Linear Phase Perfect Reconstruction Filter Banks and Application in Image Compression
Dr. Soontorn Oraintara
Professor
Dept. of Electrical Engineering
University of Texas, Arlington
Friday, April 20th, 3:00 PM, ENS 302
oraintar@uta.edu,
Abstract
In recent years, the continued rapid growth of the internet and
wireless communications have been creating new and improved
services in data access around the world. With the ubiquity of
the needs in transporting multidimensional data such as images
and video signals, compression technology has become an essential
tool that contributes to the success of information exchange over
very limited-bandwidth channels. Transform-based coder is one of
the most popular systems that are currently employed in many
coding standards including JPEG and video MPEG by exploiting the
limitations of human visual perception. Its linear transformation
and quantization enable decorrelation of spatial redundancy
inherent in such signals, by taking into account the non-uniform
spectral distribution nature.
The challenge in designing a transform for lossy compression with
high perceptual quality is to simultaneously obtain several
attractive properties in the transform such as its invertibility,
smoothness and symmetry of the basis functions and high coding
gain. In this research, we study the theory, structure and design
method of regular linear phase perfect reconstruction filter
banks which can be viewed as a unified tool for constructing such
a transform. Several transforms are optimized for the image coding
purposes, and a progressive transmission image coder is used to
evaluate their performances. Simulation results show that, while
maintaining comparable objective coding performance to the
existing works, our transforms are found to improve the
perceptual quality of the compressed images where the unpleasant
artifacts are significantly reduced.
Biography
Prof. Soontorn Oraintara received his B.S. degree from China in 1985 and
his M.S. and Ph.D. degree in Electrical Engineering from the Universities
of Wisconsin and Boston, respectively, in 1986 and 2000. He is currently
an assistant professor at The Univeristy of Texas at Arlington. His research
interests include applying filter banks to image compression.
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The Web address for the Telecommunications and Signal Processing Seminars is
http://anchovy.ece.utexas.edu/seminars