Degree Name

MS (Master of Science)


Computer and Information Science

Date of Award


Committee Chair or Co-Chairs

Martin L. Barrett, Don Hong

Committee Members

Robert Riser


Digital images are widely used in computer applications. Uncompressed digital images require considerable storage capacity and transmission bandwidth. Efficient image compression solutions are becoming more critical with the recent growth of data intensive, multimedia-based web applications.

This thesis studies image compression with wavelet transforms. As a necessary background, the basic concepts of graphical image storage and currently used compression algorithms are discussed. The mathematical properties of several types of wavelets, including Haar, Daubechies, and biorthogonal spline wavelets are covered and the Enbedded Zerotree Wavelet (EZW) coding algorithm is introduced. The last part of the thesis analyzes the compression results to compare the wavelet types.

Document Type

Thesis - unrestricted


Copyright by the authors.