CNN Image Processing on a Xilinx Virtex - II 6000
نویسنده
چکیده
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.
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تاریخ انتشار 2003