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Proceedings Paper

Image compression using neural network
Author(s): Jun Liu; Danwei Wang
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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)

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