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CNN image processing on a Xilinx Virtex-II 6000

Malki, Suleyman LU and Spaanenburg, Lambert LU (2003) European Conference on Circuit Theory and Design (ECCTD), 2003 p.4-261
Abstract
Image processing is one of the popular applications of Cellular Neural Networks. Macro enriched field-programmable gate-arrays can be used to realize such systems on silicon. The paper discusses a pipelined implementation that supports the handling of gray-level images at 180 to 240 Mpixels per second by exploiting the Virtex-II macros to spatially unroll the local feedback
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
cellular neural network, field-programmable gate-array, CNN image processing
host publication
Proceedings of the 16th European Conference on Circuit Theory and Design, ECCTD'03
pages
4 - 261
publisher
Univ. Mining & Metallurgy
conference name
European Conference on Circuit Theory and Design (ECCTD), 2003
conference location
Cracow, Poland
conference dates
2003-09-01 - 2003-09-04
ISBN
83-88309-95-1
language
English
LU publication?
yes
id
5556c788-02e1-4d10-977d-f0ad8cd10ef4 (old id 611945)
date added to LUP
2016-04-04 12:09:30
date last changed
2018-11-21 21:09:20
@inproceedings{5556c788-02e1-4d10-977d-f0ad8cd10ef4,
  abstract     = {{Image processing is one of the popular applications of Cellular Neural Networks. Macro enriched field-programmable gate-arrays can be used to realize such systems on silicon. The paper discusses a pipelined implementation that supports the handling of gray-level images at 180 to 240 Mpixels per second by exploiting the Virtex-II macros to spatially unroll the local feedback}},
  author       = {{Malki, Suleyman and Spaanenburg, Lambert}},
  booktitle    = {{Proceedings of the 16th European Conference on Circuit Theory and Design, ECCTD'03}},
  isbn         = {{83-88309-95-1}},
  keywords     = {{cellular neural network; field-programmable gate-array; CNN image processing}},
  language     = {{eng}},
  pages        = {{4--261}},
  publisher    = {{Univ. Mining & Metallurgy}},
  title        = {{CNN image processing on a Xilinx Virtex-II 6000}},
  year         = {{2003}},
}