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Digital CDS for image sensors with dominant white and 1/f noise

Stefanov, Konstantin (2015). Digital CDS for image sensors with dominant white and 1/f noise. Journal of Instrumentation, 10(4), article no. P04003.

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This paper investigates the performance of digital correlated double sampling (DCDS) for processing of image sensor signals in the presence of white and 1/f noise. The DCDS is compared with the dual slope integrator, which is the optimal analogue processing technique when only white noise is present. Based on the concept of matched filters, the paper derives and explores the optimal signal processing algorithms for signals with dominant 1/f noise, resulting in the highest achievable signal-to-noise ratio (SNR). Experimental results based on optimal DCDS on artificially generated 1/f noise signals are presented and discussed, together with the limitations of the method for more realistic sensor signals. It is shown that the noise level of the optimal DCDS can get close to the theoretical minimum.

Item Type: Journal Item
Copyright Holders: 2015 IOP Publishing Ltd and Sissa Medialab srl
ISSN: 1748-0221
Project Funding Details:
Funded Project NameProject IDFunding Body
Digital Correlated Double SamplingHF1314-03The Open University (OU)
Extra Information: 18 pp.
Keywords: image sensors; noise; digital correlated double sampling; digital signal processing
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Electronic Imaging (CEI)
Item ID: 42476
Depositing User: Konstantin Stefanov
Date Deposited: 13 Apr 2015 08:15
Last Modified: 01 Jun 2019 20:04
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