The proposed research is aimed at constructing an image representation that improves performances of current image compression algorithms and organizes the information in a form suitable for fast patter discrimination and search algorithms. The approach relies on recently discovered bandlelet orthogonal bases, which can be adapted to curves and efficiently represent image profiles. The work will also build on and incorporate previous work in such areas as graphs matching. Developing new techniques in this area can greatly improve the efficiency of future image search engines.

Agency
National Science Foundation (NSF)
Institute
Division of Information and Intelligent Systems (IIS)
Application #
0114391
Program Officer
William Bainbridge
Project Start
Project End
Budget Start
2001-09-01
Budget End
2005-08-31
Support Year
Fiscal Year
2001
Total Cost
$449,973
Indirect Cost
Name
New York University
Department
Type
DUNS #
City
New York
State
NY
Country
United States
Zip Code
10012