Digital pixel CMOS focal plane array with on-chip multiply accumulate units for low-latency image processing

Jeffrey W. Little; Brian M. Tyrrell; Richard D'Onofrio; Paul J. Berger; Christy Fernandez-Cull

doi:10.1117/12.2057519

24 June 2014 Digital pixel CMOS focal plane array with on-chip multiply accumulate units for low-latency image processing

Jeffrey W. Little, Brian M. Tyrrell, Richard D'Onofrio, Paul J. Berger, Christy Fernandez-Cull

Author Affiliations +

Proceedings Volume 9070, Infrared Technology and Applications XL; 90703B (2014) https://doi.org/10.1117/12.2057519
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

A digital pixel CMOS focal plane array has been developed to enable low latency implementations of image processing systems such as centroid trackers, Shack-Hartman wavefront sensors, and Fitts correlation trackers through the use of in-pixel digital signal processing (DSP) and generic parallel pipelined multiply accumulate (MAC) units. Light intensity digitization occurs at the pixel level, enabling in-pixel DSP and noiseless data transfer from the pixel array to the peripheral processing units. The pipelined processing of row and column image data prior to off chip readout reduces the required output bandwidth of the image sensor, thus reducing the latency of computations necessary to implement various image processing systems. Data volume reductions of over 80% lead to sub 10μs latency for completing various tracking and sensor algorithms. This paper details the architecture of the pixel-processing imager (PPI) and presents some initial results from a prototype device fabricated in a standard 65nm CMOS process hybridized to a commercial off-the-shelf short-wave infrared (SWIR) detector array.

Citation Download Citation

Jeffrey W. Little, Brian M. Tyrrell, Richard D'Onofrio, Paul J. Berger, and Christy Fernandez-Cull "Digital pixel CMOS focal plane array with on-chip multiply accumulate units for low-latency image processing", Proc. SPIE 9070, Infrared Technology and Applications XL, 90703B (24 June 2014); https://doi.org/10.1117/12.2057519

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE