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The analogic single-chip CNN visual supercomputer — a review

  • Neural Networks
  • Conference paper
  • First Online:
Computer Analysis of Images and Patterns (CAIP 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 719))

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  • 158 Accesses

Abstract

After having briefly summarized the CNN paradigm and the CNN Universal chip, the main image-processing related areas of applications are rewieved. Form, motion, depth and color processing are considered. It is also shown that the retinotopic part of the living visual system can adequately be modelled. The key advantage of this new technology is the enormous programmable computing power: ∼1012 operation/sec per chip.

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  1. Computer and Automation Institute of the Hungarian Academy of Sciences, Lágymányosi-u. 11, H-1111, Budapest, Hungary

    Tamás Roska

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  1. Tamás Roska
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Dmitry Chetverikov Walter G. Kropatsch

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Roska, T. (1993). The analogic single-chip CNN visual supercomputer — a review. In: Chetverikov, D., Kropatsch, W.G. (eds) Computer Analysis of Images and Patterns. CAIP 1993. Lecture Notes in Computer Science, vol 719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57233-3_113

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