DocumentCode :
2786265
Title :
A Programmable, Maximal Throughput Architecture for Neighborhood Image Processing
Author :
Porter, Reid ; Frigo, Jan ; Gokhale, Maya ; Wolinski, Christophe ; Charot, Francois ; Wagner, Charles
Author_Institution :
Los Alamos Nat. Lab., NM
fYear :
2006
fDate :
24-26 April 2006
Firstpage :
279
Lastpage :
280
Abstract :
The authors propose a run-time re-configurable architecture for local neighborhood image processing. Discussion of how the new architecture can offer improved flexibility to the developer. The authors show that for a satellite image feature extraction application, our architecture, implemented on Stratix II and Virtex 2 field programmable gate arrays, achieves similar performance, hardware resource utilization, and throughput as fully pipelined systolic array architecture
Keywords :
feature extraction; field programmable gate arrays; image processing; image processing equipment; reconfigurable architectures; systolic arrays; Stratix II; Virtex 2; field programmable gate arrays; hardware resource utilization; maximal throughput architecture; neighborhood image processing; pipelined systolic array architecture; programmable architecture; reconfigurable architecture; run-time architecture; satellite image feature extraction; Color; Computer architecture; Convolution; Field programmable gate arrays; Image processing; Pipelines; Pixel; Runtime; Systolic arrays; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Field-Programmable Custom Computing Machines, 2006. FCCM '06. 14th Annual IEEE Symposium on
Conference_Location :
Napa, CA
Print_ISBN :
0-7695-2661-6
Type :
conf
DOI :
10.1109/FCCM.2006.13
Filename :
4020919
Link To Document :
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