Fischer The basic goal of this research is to develop general analysis and design methods for multidimensional filter bank signal decompositions, featuring non-rectangular spectral partitions, and to integrate such methods with novel source coding techniques to produce a family of effective and efficient image and video coders. The work focuses on the following four tasks: 1. design exact/near-exact reconstruction multidimensional multirate filter banks for a variety of non-rectangular spectral partitions; 2. develop a theory for the subband coding gain and coder performance of multidimensional multirate filter bank source coders, emphasizing the filter banks developed in 1; 3. develop a theory for the influence of perceptual weighting functions in subband coding systems; and 4. determine a theory for the performance of linear prediction in a multirate filter bank signal decomposition, with emphasis on the source coding application. Fixed, forward adaptive, and backward adaptive prediction are being considered.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Application #
9116683
Program Officer
John Cozzens
Project Start
Project End
Budget Start
1992-01-01
Budget End
1995-06-30
Support Year
Fiscal Year
1991
Total Cost
$360,527
Indirect Cost
Name
Washington State University
Department
Type
DUNS #
City
Pullman
State
WA
Country
United States
Zip Code
99164