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Autoassociative neural networks for image compression: a massively parallel implementation

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1 Author(s)
A. Basso ; Lab. de Traitement des Signaux, Ecole Polytech. Federale de Lausanne, Switzerland

A massively parallel implementation on the associative string processor (ASP) machine of a neural-network-based technique for image compression is presented. Despite the linear structure of the ASP and the use of fixed arithmetic for the implementation, promising results are shown in terms of learning speed, on the order of 109 connections per second, and the quality of the reconstructed images

Published in:

Neural Networks for Signal Processing [1992] II., Proceedings of the 1992 IEEE-SP Workshop

Date of Conference:

31 Aug-2 Sep 1992