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Image Coding Using Artificial Neural Networks

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Digital Signal Processing in Telecommunications

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Abstract

The problem of image compression has been recently studied in a variety of different ways. Many approaches, however, are based either on transform coding techniques or on vector quantization; both of these methods essentially exploit the correlation which is generally present between close pixels in natural images.

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Authors and Affiliations

  1. D.E.E.I., University of Trieste Via A. Valerio, 10, 34100, Trieste, Italy

    Sergio Carrato, Stefano Marsi, Giovanni Ramponi & Giovanni L. Sicuranza

Authors
  1. Sergio Carrato
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  2. Stefano Marsi
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  3. Giovanni Ramponi
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  4. Giovanni L. Sicuranza
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Editor information

Editors and Affiliations

  1. ETSI Telecom-UPM, Ciudad Universitaria, 28040, Madrid, Spain

    Aníbal R. Figueiras-Vidal

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© 1996 Springer-Verlag London Limited

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Carrato, S., Marsi, S., Ramponi, G., Sicuranza, G.L. (1996). Image Coding Using Artificial Neural Networks. In: Figueiras-Vidal, A.R. (eds) Digital Signal Processing in Telecommunications. Springer, London. https://doi.org/10.1007/978-1-4471-1019-4_7

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  • DOI: https://doi.org/10.1007/978-1-4471-1019-4_7

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76037-5

  • Online ISBN: 978-1-4471-1019-4

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