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