Journal article
Neural network approaches to image compression
Abstract
This paper presents a tutor a overview of neural networks as signal processing tools for image compression. They are well suited to the problem of image compression due to their massively parallel and distributed architecture. Their characteristics are analogous to some of the features of our own visual system, which allow us to process visual information with much ease. For example, multilayer perceptions can be used as nonlinear predictors in …
Authors
Dony RD; Haykin S
Journal
Proceedings of the IEEE, Vol. 83, No. 2, pp. 288–303
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
1995
DOI
10.1109/5.364461
ISSN
0018-9219