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.

DOI: https://doi.org/10.1088/1748-0221/10/04/P04003

Abstract

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.

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About

• Item ORO ID
• 42476
• Item Type
• Journal Item
• ISSN
• 1748-0221
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  Digital Correlated Double Sampling	HF1314-03	The Open University (OU)

• Extra Information
• 18 pp.
• Keywords
• image sensors; noise; digital correlated double sampling; digital signal processing
• Academic Unit or 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)
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• Copyright Holders
• © 2015 IOP Publishing Ltd and Sissa Medialab srl
• Depositing User
• Konstantin Stefanov