DocumentCode :
3294669
Title :
Bandwidth efficient sensor architectures with feature extraction
Author :
Caulfield, J.T. ; McCarley, P.L. ; Elliott, J. ; Massie, M.A.
Author_Institution :
Cyan Syst., Santa Barbara, CA
fYear :
2008
fDate :
15-17 Oct. 2008
Firstpage :
1
Lastpage :
5
Abstract :
We report on processing techniques to effectively control the data bandwidth in larger format focal plane array (FPA) sensors. We have developed an image processing architecture for foveating variable acuity FPAs that give a controlled reduction in the data rate via simple circuits that estimate activity on the FPA image plane. Integrated on-FPA signal processing goals are to perform pre-processing that is usually performed downstream in a dedicated processing module. Techniques for image pre-processing described in this paper allow transmitting ldquoactiverdquo pixel data while skipping unchanging pixels. These techniques for image pre-processing adjacent to the FPA allows significant reductions in the data rate, size, weight and power for small and low cost systems that cannot work with a large image processors.
Keywords :
feature extraction; focal planes; signal processing; FPA signal processing; data bandwidth control; feature extraction; format focal plane array sensor; image processing; Bandwidth; Biosensors; Electric variables control; Feature extraction; Image sensors; Parallel processing; Pixel; Sensor arrays; Sensor systems; WiMAX;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery Pattern Recognition Workshop, 2008. AIPR '08. 37th IEEE
Conference_Location :
Washington DC
ISSN :
1550-5219
Print_ISBN :
978-1-4244-3125-0
Electronic_ISBN :
1550-5219
Type :
conf
DOI :
10.1109/AIPR.2008.4906440
Filename :
4906440
Link To Document :
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