Abstract #300844

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2002 Program page
JSM 2002 Abstract #300844
Activity Number: 137
Type: Topic Contributed
Date/Time: Monday, August 12, 2002 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing*
Abstract - #300844
Title: Beamlets, Wedgelets and New Multiscale Image Analysis
Author(s): Xiaoming Huo*+
Affiliation(s): Georgia Institute of Technology
Address: 765 Ferst Dr, Atlanta, Georgia, 30332, USA
Keywords: beamlets ; wedgelets ; multiscale ; image analysis
Abstract:

Beamlets and wedgelets are new multiscale data structures that are created for 2-d functions (e.g., images). Based on these data structures, new methods have been developed for image denoising, feature extraction, detection, and coding--just name a few. Compared to existing methods, the new methods are computationally more efficient and at the same time retain statistical optimality. Several applications will be described in this talk.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2002 program

JSM 2002

For information, contact meetings@amstat.org or phone (703) 684-1221.

If you have questions about the Continuing Education program, please contact the Education Department.

Revised March 2002