
Proceedings Paper
Signal conditioning circuits for 3D-integrated burst image sensors with on-chip A/D conversionFormat | Member Price | Non-Member Price |
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Paper Abstract
Ultra High Speed (UHS) imaging is at the forefront of the imaging technology for some years now. These image sensors
are used to shoot high speed phenomenon that require about hundred images at Mega frame-per-seconds such as
detonics, plasma forming, laser ablation… At such speed the data read-out is a bottleneck and CMOS and CCD image
sensors store a limited number of frames (burst) on-chip before a slow read-out. Moreover in recent years 3D integration
has made significant progresses in term of interconnection density. It appears as a key technology for the future of UHS
imaging as it allows a highly parallel integration, shorter interconnects and an increase of the fill factor. In the past we
proposed an idea of 3D integrated burst image sensor with on-chip A/D conversion that overcome the state of the art in
term of frame-per-burst. This sensor is made of 3 stacked layers respectively performing the signal conditioning, the A/D
conversion and the burst storage. We present here different solutions to implement the analogue front-end of the first
layer. We will describe three circuits for three purposes (high frame rate, power efficiency and sensitivity). To support
our point, we provide simulation results. All these front-ends perform global shutter acquisition.
Paper Details
Date Published: 13 March 2015
PDF: 11 pages
Proc. SPIE 9403, Image Sensors and Imaging Systems 2015, 940304 (13 March 2015); doi: 10.1117/12.2082534
Published in SPIE Proceedings Vol. 9403:
Image Sensors and Imaging Systems 2015
Ralf Widenhorn; Antoine Dupret, Editor(s)
PDF: 11 pages
Proc. SPIE 9403, Image Sensors and Imaging Systems 2015, 940304 (13 March 2015); doi: 10.1117/12.2082534
Show Author Affiliations
R. Bonnard, DACLE, CEA-LETI (France)
J. Segura Puchades, DACLE, CEA-LETI (France)
J. Segura Puchades, DACLE, CEA-LETI (France)
Published in SPIE Proceedings Vol. 9403:
Image Sensors and Imaging Systems 2015
Ralf Widenhorn; Antoine Dupret, Editor(s)
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