Distributed mixed-signal architecture for programmable smart image sensors

Smart vision systems on a chip are promising for embedded applications. Currently, flexibility in the choice of integrated pre-processing tools is obtained at the expense of total silicon area and fill factor, which are otherwise optimized provided that the sensor performs a specific task. We propos...

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Bibliographic Details
Published in:Analog integrated circuits and signal processing 2018-12, Vol.97 (3), p.493-501
Main Authors: Le Hir, Juliette, Kolar, Anthony, Vinci Dos Santos, Filipe
Format: Article
Language:English
Subjects:
Algorithms
Analog to digital converters
Architecture
Circuits and Systems
Computer simulation
Electrical Engineering
Embedded systems
Engineering
Engineering Sciences
Feasibility studies
Filtration
Micro and nanotechnologies
Microelectronics
Pixels
Signal,Image and Speech Processing
Smart sensors
Vision systems
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Summary:Smart vision systems on a chip are promising for embedded applications. Currently, flexibility in the choice of integrated pre-processing tools is obtained at the expense of total silicon area and fill factor, which are otherwise optimized provided that the sensor performs a specific task. We propose a new architecture based on macropixel-level processing to improve the trade-off by using the same processing elements (PEs) for a whole group of pixels. In this paper, we show through transistor-level simulations the feasibility of using macropixel PEs. Their operative part is analog to avoid the bottleneck of analog to digital converters and has digital control which is distributed in and out of the matrix of pixels. PEs are designed to be suitable for coefficient-reconfigurable spatial and temporal filtering. Sharing electronics among several pixels and matching existing algorithms to the target architecture allow for such programmability without degrading too much pixel area nor fill factor.
ISSN:0925-1030
1573-1979
DOI:10.1007/s10470-018-1342-y