Wavelets for Compression of Image-Like Data
Abstract
The objective of this report is to give a brief descriptive summary of the research findings on the research project under ARO Contract DAAH04-95-1-0193, sponsored by SDIO/IST and managed by the U.S. Army Research Office. This is a three-year research grant with a one-year no-cost extension. Technical details are not included in this report, since most of the results have been reported semi-annually. The research findings can be divided into five groups. Group 1, which consists of papers 19, 20, and 21, is aimed at building the mathematical theory for our research on formulation and characterization of wavelets, splines, and other local basis functions. Group 2, which consists of papers 2, 3, 15, 16, 23, 24, and 25, is a compilation of research work on wavelet foundation, theory, methods, algorithms, and computational schemes. Group 3, which consists of papers 1, 4, and 9, is focused on the stability study and approximation order of bi-variate splines. Group 4, which consists of papers 5, 10, 11, 12, 17,18, and 22, is focused on the third type of local basis functions, namely, localized sinusoidal functions. Finally, Group 5, which consists of papers 6, 7, 8, 13, and 14, is concerned with applications, particularly on wavelet feature extraction and compression of image-like data.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 22, 1999
- Accession Number
- ADA365154
Entities
People
- Charles K. Chui
Organizations
- Texas A&M University