Title:  What is the Matrix?

Abstract:  In this accessible presentation, I will explain how a mathematical set of functions called wavelets can be used to perform the state of the art in image compression.  Image compression is a process that involves making an approximation of an image that significantly reduces the size of the computer file used to represent the image.  At significant compression levels, the formerly used compression standard, JPEG, yields a blocky pixelated output, whereas, the new wavelet compression standard, JPEG2000, produces a compressed approximation that contains more natural artifacts that are more acceptable to the eye. 

Presenter:  Dr. David Roach is a professor at Murray State University in the department of Mathematics and Statistics.  He received his Ph.D. from Vanderbilt University in 1997.  He had two postdoctoral positions, one at Sandia National Laboratories and the other at the University of Georgia, before accepting the position at Murray State University.  His research interests include Wavelets, Approximation Theory, Splines, and Numerical PDE’s.