ENEE631 Digital Image Processing: Wavelet-Based Image Compression

Abstract

In this paper, we discuss methods using the wavelet transform to compress digital images. These methods often employ common image coding strategies such as embedded coding, entropy coding, and subband decomposition, which are described in detail. Then we compare actual image coders that are used in practice based on metrics such as image quality, PSNR, rate scalability, and computational complexity. Finally, we illustrate the effectiveness of these image coding techniques using our own implentation of three different image coders.

10 Figures and Tables

Cite this paper

@inproceedings{Lai2004ENEE631DI, title={ENEE631 Digital Image Processing: Wavelet-Based Image Compression}, author={Hung-Quoc Lai and Steven K. Tjoa}, year={2004} }