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New Architectures for Image Processing

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Data Analysis in Astronomy

Part of the book series: Ettore Majorana International Science Series ((EMISS,volume 24))

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Abstract

Image processing tasks usually require a power pro- cessing capacity higher than the one supplied by the Von Neumann sequential paradigm.

A number of “Non Von” multiprocessor structures have been proposed, designed, and sometimes built, since the early, ′60.

In order to point out the main features of these machines some characteristics will be introduced here in a dichotomic way: spatial and temporal parallelism; implementation by special (hardware oriented) function units and by general purpose (programmable) units; data driven or instruction driven solutions; with fixed interconnections or with dynamic permutation capabili- ties; whether they follow or not the linear scaling assumption; whether automatic or interactive.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica e Sistemistica, Universitè di Pavia, 27100, Pavia, Italy

    Virginio Cantoni

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  1. Virginio Cantoni
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Editor information

Editors and Affiliations

  1. Institute of Cosmic Physics and Informatics/CNR, University of Palermo, Palermo, Italy

    V. Di Gesù  & L. Scarsi  & 

  2. European Southern Observatory, Garching/Munich, Federal Republic of Germany

    P. Crane

  3. Stanford University, Stanford, California, USA

    J. H. Friedman

  4. University of Rome, Rome, Italy

    S. Levialdi

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© 1985 Plenum Press, New York

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Cantoni, V. (1985). New Architectures for Image Processing. In: Gesù, V.D., Scarsi, L., Crane, P., Friedman, J.H., Levialdi, S. (eds) Data Analysis in Astronomy. Ettore Majorana International Science Series, vol 24. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-9433-8_42

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  • DOI: https://doi.org/10.1007/978-1-4615-9433-8_42

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4615-9435-2

  • Online ISBN: 978-1-4615-9433-8

  • eBook Packages: Springer Book Archive

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