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ZISC-036 Neuro-processor Based Image Processing

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Bio-Inspired Applications of Connectionism (IWANN 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2085))

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Abstract

This paper deals with neural based image processing and developed solutions using the ZISC-036 neuro-processor, an IBM hardware processor which implements the Restricted Coulomb Energy algorithm (RCE) and the KNearest Neighbor algorithm (KNN). The developed neural based techniques have been applied for image enhancement in order to restore old movies (noise reduction, focus correction, etc.), to improve digital television images, or to treat images which require adaptive processing. Experimental results, validating the exposed concepts, have been reported showing quantitative and qualitative improvement as well as the efficiency of our solutions.

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Author information

Authors and Affiliations

  1. SENART Institute of Technology, Intelligence in Instrumentation and Systems Lab. (I2S), Avenue Pierre POINT, F, 77127, LIEUSAINT, FRANCE

    Kurosh Madani

  2. IBM France Laboratoire d’Etude et de Developpement 224, boulevard John Kennedy, F, 91105, Corbeil Essonnes Cedex, France

    Ghislain de Trémiolles & Pascal Tannhof

Authors
  1. Kurosh Madani
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  2. Ghislain de Trémiolles
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  3. Pascal Tannhof
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Senda del Rey, s/n., 28040, Madrid, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Madani, K., de Trémiolles, G., Tannhof, P. (2001). ZISC-036 Neuro-processor Based Image Processing. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_24

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  • DOI: https://doi.org/10.1007/3-540-45723-2_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42237-2

  • Online ISBN: 978-3-540-45723-7

  • eBook Packages: Springer Book Archive

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