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Title

A study on the effect of neighbourhood functions for noise robust vector quantisers

Author(s)

Andrew, Lachlan L. H.;  Palaniswami, Marimuthu

Abstract

By the use of noise robust compression, separate error correction can be reduced. This paper studies a number of neighbourhood functions for the SOFM for designing image vector quantiser codebooks for noisy channels. They include a neighbourhood recently proposed for the scalar coding of speech and a novel neighbourhood which makes the SOFM functionally equivalent to the popular LBG algorithm. The simulation results of these neighbourhood functions on two images provide insight into the problem of selecting an appropriate topology for the design of vector quantiser codebooks for noisy channels.

Publication type

Conference paper

Source

Proceedings of the 1994 IEEE World Congress on Computational Intelligence, Orlando, Florida, United States, 27 June-02 July 1994, Vol. 6, pp. 4159-4162

Publication year

1994

Keyword(s)

Error correction;  Error correction codes;  Image coding;  Image vector quantiser codebooks;  LBG algorithm;  Neighbourhood functions;  Noise;  Noise robust compression;  Noise robust vector quantisers;  Noisy channels;  Scalar coding;  Self-organising feature maps;  SOFM;  Speech;  Vector quantisation

Publisher

IEEE

ISBN

9780780319011, 078031901X

Publisher URL

http://dx.doi.org/10.1109/ICNN.1994.374881

Copyright

Copyright © 1994 IEEE. Paper reproduced in accordance with the copyright policy of the publisher.

Full text

Peer reviewed