TITLE:

NOISE REMOVAL AND STRUCTURE ENHANCEMENT FOR ELECTRON TOMOGRAPHY OF MITOCHONDRIA

DATE:

Friday, February 29th, 2008

TIME:

3:30 PM

LOCATION:

GMCS 214

SPEAKER:

Peter Blomgren, Department of Mathematics and Statistics, San Diego State University

ABSTRACT:

We review some recent progress in image enchancement aimed at
improving mitochondrial images obtained from electron tomography.
We propose:

(*) an iterative method, based on the well established
total variation (TV) approach to image processing, whereby we can
obtain a good approximation to the true image, with minimum human
intervention;

(*) a new image smoothing and edge detection
technique that employs a combination of nonlinear diffusion and bilateral filtering.

Joint work with Carlos Bazan

HOST:

Jose Castillo

NOTES:

In Celebration of Gene Golub’s Life (February 29, 1932 √¢¬Ä¬ì November 16, 2007)

Gene was a Fletcher Jones Professor of Computer Science at Stanford University. He also served as a distinguished member of the Scientific Advisory Board with the Computational Science Research Center at San Diego State University.

Born in Chicago, he was educated at the University of Illinois at Urbana-Champaign, receiving his B.S. (1953), M.A. (1954) and Ph.D. (1959) all in the field of Mathematics. His M.A. degree was more specifically in Mathematical Statistics. His PhD dissertation was entitled
“The Use of Chebyshev Matrix Polynomials in the Iterative Solution of Linear Equations Compared to the Method of Successive Overrelaxation” and his thesis adviser was Abraham Taub. He had been at Stanford since 1962 and became a professor there in 1970. He had advised almost thirty doctoral students, many of whom have themselves achieved distinction. Gene Golub was an important figure in numerical analysis and pivotal to creating the NA-Net and the NA-Digest, as well as the International Conference on Industrial and Applied Mathematics.

One of his best-known books is Matrix Computations, co-authored with Charles F. Van Loan. He was a major contributor to algorithms for matrix decompositions. In particular he published an algorithm together with William Kahan in 1970 that made the computation of the singular value decomposition (SVD) feasible and that is still used today. A survey of his work was published in 2007 by OUP as “Milestones in Matrix Computation”.

Golub was awarded the B. Bolzano Gold Medal for Merits in the Field of Mathematical Sciences and chosen as a Member of the National Academy of Sciences (1993). He is listed as an ISI highly cited researcher. He held several honorary degrees and was destined to obtain an honorary degree from ETH Zürich on November 17, 2007.