• DocumentCode
    3416522
  • Title

    Autoassociative neural networks for image compression: a massively parallel implementation

  • Author

    Basso, Andrea

  • Author_Institution
    Lab. de Traitement des Signaux, Ecole Polytech. Federale de Lausanne, Switzerland
  • fYear
    1992
  • fDate
    31 Aug-2 Sep 1992
  • Firstpage
    373
  • Lastpage
    381
  • Abstract
    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
  • Keywords
    data compression; image processing; neural chips; parallel architectures; associative string processor machine; autoassociative neural networks; fixed arithmetic; image compression; learning speed; linear structure; reconstructed image quality; Application specific processors; Arithmetic; Data communication; Electronic mail; Image coding; Image reconstruction; Neural networks; Neurons; Vectors; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks for Signal Processing [1992] II., Proceedings of the 1992 IEEE-SP Workshop
  • Conference_Location
    Helsingoer
  • Print_ISBN
    0-7803-0557-4
  • Type

    conf

  • DOI
    10.1109/NNSP.1992.253675
  • Filename
    253675
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3416522