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Journal of Electronic Imaging

New systolic array processor architecture for simultaneous discrete convolution of an image plane with multiple filter coefficient sets
Author(s): Albert T. Wong; James Robert Heath; Michael E. Lhamon
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Paper Abstract

A new high-performance scalable systolic array processor architecture module for implementation of the two-dimensional discrete convolution algorithm on an (i×j) pixel input image plane (IP) using an (n×n) filter coefficient (FC) plane is first presented. The module generates one convoluted output image (OI) plane pixel per system clock cycle for an (n×n) FC plane using a level of r hardware resources. Second, the architecture is extended in a modular scalable manner to allow simultaneous convolution of a single IP, with k different (n×n) FC planes, such that k convoluted OI plane pixels are generated each system clock cycle, utilizing less than (k*r) hardware resources. The new convolution architecture may be implemented to an ASIC or programmable logic device (PLD) platform. Results of synthesizing and implementing the proposed architecture are shown, illustrating the scalability of the new convolution architecture relative to k. Results from postimplementation virtual hardware prototype simulation testing and from testing a PLD-based experimental hardware prototype are shown that validate correct functional and performance operation of the new convolution architecture module.

Paper Details

Date Published: 1 January 2007
PDF: 16 pages
J. Electron. Imag. 16(1) 013014 doi: 10.1117/1.2710469
Published in: Journal of Electronic Imaging Volume 16, Issue 1
Show Author Affiliations
Albert T. Wong, Univ. of Kentucky (United States)
James Robert Heath, Univ. of Kentucky (United States)
Michael E. Lhamon, Lexmark International, Inc. (United States)

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