Implementing Image Applications on FPGAs

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The Cameron project has developed a language and compiler for mapping image-based applications to field programmable gate arrays (FPGAs). This paper tests this technology on several applications and finds that FPGAs are between 8 and 800 times faster than comparable Pentiums for image based tasks.

A. P. Wim Böhm, Bruce A. Draper, Charles Ross

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Computer Vision | ICPR 2002 | Image Based Tasks | Programmable Gate Arrays |

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Added	09 Nov 2009
Updated	09 Nov 2009
Type	Conference
Year	2002
Where	ICPR
Authors	A. P. Wim Böhm, Bruce A. Draper, Charles Ross, J. Ross Beveridge, Monica Chawathe

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Implementing Image Applications on FPGAs

Computer Vision | ICPR 2002 | Image Based Tasks | Programmable Gate Arrays |

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