Share Email Print

Proceedings Paper

Discrete wavelet transform for image compression: a hardware approach
Author(s): Philip P. Dang; Paul M. Chau
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In the last few years, there has been a great deal of effort invested in the fields of discrete wavelet transform (DWT) by the scientific community. DWT associated with vector quantization has been proved to be an invaluable tool for image compression. The DWT, however, is very computationally intensive process. There is a need to investigate innovative and computationally efficient architectures to obtain the image compression in real time. In this paper, we present a novel, robust, and regular architecture to implement the DWT for image compression. Beside the performance, the architecture takes into account data format, power, hardware cost and scalability issues rising form realistic operating conditions.

Paper Details

Date Published: 26 May 1999
PDF: 11 pages
Proc. SPIE 3658, Medical Imaging 1999: Image Display, (26 May 1999); doi: 10.1117/12.349430
Show Author Affiliations
Philip P. Dang, Univ. of California/San Diego (United States)
Paul M. Chau, Univ. of California/San Diego (United States)

Published in SPIE Proceedings Vol. 3658:
Medical Imaging 1999: Image Display
Seong Ki Mun; Yongmin Kim, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?