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Proceedings Paper

Image compression using Boltzmann machines
Author(s): Ying Liu
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Paper Abstract

In this paper, the idea of image compression using the Boltzmann machines will be developed. We will first introduces (theta) -transformation and show it is complete for a certain class of images. Then we will show that the Boltzmann machine can implement the first few terms in the (theta) -transformation; therefore, the Boltzmann machines can be used as image encoders. The compression ratio and distortion of this new image compression method are discussed.

Paper Details

Date Published: 29 October 1993
PDF: 15 pages
Proc. SPIE 2032, Neural and Stochastic Methods in Image and Signal Processing II, (29 October 1993); doi: 10.1117/12.162027
Show Author Affiliations
Ying Liu, Savannah State College (United States)


Published in SPIE Proceedings Vol. 2032:
Neural and Stochastic Methods in Image and Signal Processing II
Su-Shing Chen, Editor(s)

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