Share Email Print

Proceedings Paper

Image compression using neural network
Author(s): Jun Liu; Danwei Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, we investigate the performance of image compression and decompression using counterpropagation neural network. It is noted that by using a few training image patterns (less than 20) we can compress the unlearned image data without knowing its characteristic. The selection of training image patterns is discussed. Examples are presented to demonstrate the compression method.

Paper Details

Date Published: 16 December 1992
PDF: 6 pages
Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); doi: 10.1117/12.130869
Show Author Affiliations
Jun Liu, Nanyang Technological Institute (Singapore)
Danwei Wang, Nanyang Technological Institute (Singapore)

Published in SPIE Proceedings Vol. 1766:
Neural and Stochastic Methods in Image and Signal Processing
Su-Shing Chen, Editor(s)

© SPIE. Terms of Use
Back to Top