Rapid algorithm verification for cooperative analog-digital imaging systems

Author

Lee, Teahyung ; Chiu, Leung K. ; Anderson, David V. ; Robucci, Ryan ; Hasler, Paul

Author_Institution

Georgia Inst. of Technol., Atlanta

fYear

2007

fDate

5-8 Aug. 2007

Firstpage

1305

Lastpage

1308

Abstract

An algorithm verification methodology for cooperative analog-digital signal processing imaging system is presented, and a simulation tool for software and hardware co-verification is developed for rapid algorithm verification. Unlike traditional behavioral simulation, the behavior of the architectural structure includes the characteristics of sensor and circuit mismatch and parasitic effects so that algorithm-level simulation can predict the performance of a true physical system. A case study of gradient- based optical flow estimation algorithm is demonstrated.

Keywords

gradient methods; image processing; image sensors; image sequences; algorithm-level simulation; cooperative analog-digital imaging; cooperative analog-digital signal processing; gradient-based optical flow estimation algorithm; parasitic effects; rapid algorithm verification; software/hardware co-verification; Analog-digital conversion; Circuit simulation; Hardware; Optical imaging; Predictive models; Sensor phenomena and characterization; Sensor systems; Signal processing algorithms; Software algorithms; Software tools; image processing; imaging system; optical flow estimation; rapid verification; sensor modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2007. MWSCAS 2007. 50th Midwest Symposium on

Conference_Location

Montreal, Que.

ISSN

1548-3746

Print_ISBN

978-1-4244-1175-7

Electronic_ISBN

1548-3746

Type

conf

DOI

10.1109/MWSCAS.2007.4488790

Filename

4488790