CSRI Seminar: James G. Nagy

Title	Exploiting Kronecker Product Structure in Image Restoration
Speaker	James G. Nagy Mathematics and Computer Science Department Emory University Atlanta, GA nagy@mathcs.emory.edu
Date	Wednesday, February 4, 2004
Time	10-11am (PT) 11-12am (MT)
Location	Bldg. 921, Room 137 (Sandia - CA) TBA (Sandia - NM)
Abstract	Image restoration is the process of minimizing or removing degradations from an observed image, which may be distorted by such things as blurring and noise. Such problems arise in applications ranging from microscopy to astronomy. Computational methods for restoring the image require solving large, very ill-conditioned linear systems. The structure of the "blurring" matrix determines whether it is feasible to use matrix factorizations, or whether iterative methods are more appropriate for solving the linear systems. In this talk we describe some aspects of image restoration algorithms, and show that the blurring matrix can often be represented in terms of Kronecker products. We also show how to exploit the Kronecker product structure to improve computational efficiency. Examples from various applications will be presented.
About the Speaker	James G. Nagy is Associate Professor and Director of Graduate Studies in the Department of Mathematics and Computer Science at Emory University in Atlanta, Georgia. His research interests are numerical linear algebra, scientific computation, and numerical solutions to discrete ill-posed problems in signal and image processing. Last fall, Dr. Nagy was featured on National Public Radio.
Host:	Tammy Kolda, tgkolda@sandia.gov

This seminar series is hosted by the Computational Sciences and Mathematics Research Department at Sandia National Labs in Livermore, CA. This seminar is funded by the Computer Science Research Institute (CSRI). To schedule a time to meet with the speaker before or after the talk, please make arrangements with the host listed above.

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