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Real-Time Parallel Computing pp 145–158Cite as

Languages for Parallel Processing of Images

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Abstract

Parallel processing of large data arrays is characteristic of image analysis. In order to be compatible with typical television systems, the usual image size is 512×512. If the image is a 3-color image, this means that approximately 1 million bytes of data are present in the single-frame output of an ordinary television scanner. If the television scanner operates at 15 frames per second, then the full data transfer rate is more than 10 megabytes per second, i.e., one picture element (pixel) is generated every 100 nanoseconds. In order that a computing system process images at this rate, several picture points operations (pixops) must be performed in this time interval.

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Author information

Authors and Affiliations

  1. Carnegie-Mellon University, Pittsburgh, PA, 15213, USA

    K. Preston Jr.

Authors
  1. K. Preston Jr.
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Editor information

Editors and Affiliations

  1. University of Tokyo, Tokyo, Japan

    Morio Onoe

  2. Carnegie-Mellon Universiy, Pittsburgh, Pennsylvania, USA

    Kendall Preston Jr.

  3. University of Maryland, College Park, Maryland, USA

    Azriel Rosenfeld

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© 1981 Plenum Press, New York

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Preston, K. (1981). Languages for Parallel Processing of Images. In: Onoe, M., Preston, K., Rosenfeld, A. (eds) Real-Time Parallel Computing. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-3893-2_9

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  • DOI: https://doi.org/10.1007/978-1-4684-3893-2_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-3895-6

  • Online ISBN: 978-1-4684-3893-2

  • eBook Packages: Springer Book Archive

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