Share Email Print

Proceedings Paper

High-fidelity image compression with nearly lossless arithmetic coding
Author(s): Houng-Jyh Mike Wang; C.-C. Jay Kuo
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this work, we investigate the nearly lossless image compression technique, which provides a better compression ratio than purely lossless compression schemes and has a better reconstructed image quality than lossy ones. In particular, we introduce a new idea called the soft decision quantization and integrate it with the binary arithmetic QM coder. The superior performance of the developed algorithm is demonstrated with numerical experiments.

Paper Details

Date Published: 1 November 1996
PDF: 12 pages
Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996); doi: 10.1117/12.257311
Show Author Affiliations
Houng-Jyh Mike Wang, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 2916:
Multimedia Storage and Archiving Systems
C.-C. Jay Kuo, Editor(s)

© SPIE. Terms of Use
Back to Top