24 April 2018 Optimization of CMOS image sensor utilizing variable temporal multisampling partial transfer technique to achieve full-frame high dynamic range with superior low light and stop motion capability
Salman Kabir, Craig Smith, Frank Armstrong, Gerrit Barnard, Alexander C. Schneider, Michael Guidash, Thomas Vogelsang, Jay Endsley
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Abstract
Differential binary pixel technology is a threshold-based timing, readout, and image reconstruction method that utilizes the subframe partial charge transfer technique in a standard four-transistor (4T) pixel CMOS image sensor to achieve a high dynamic range video with stop motion. This technology improves low light signal-to-noise ratio (SNR) by up to 21 dB. The method is verified in silicon using a Taiwan Semiconductor Manufacturing Company’s 65 nm 1.1  μm pixel technology 1 megapixel test chip array and is compared with a traditional 4  ×   oversampling technique using full charge transfer to show low light SNR superiority of the presented technology.
© 2018 SPIE and IS&T 1017-9909/2018/$25.00 © 2018 SPIE and IS&T
Salman Kabir, Craig Smith, Frank Armstrong, Gerrit Barnard, Alexander C. Schneider, Michael Guidash, Thomas Vogelsang, and Jay Endsley "Optimization of CMOS image sensor utilizing variable temporal multisampling partial transfer technique to achieve full-frame high dynamic range with superior low light and stop motion capability," Journal of Electronic Imaging 27(2), 023030 (24 April 2018). https://doi.org/10.1117/1.JEI.27.2.023030
Received: 15 June 2017; Accepted: 16 March 2018; Published: 24 April 2018
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Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
High dynamic range imaging

Signal to noise ratio

CMOS sensors

Radon

Sensors

Binary data

High dynamic range image sensors

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