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Sensors 2014, 14(1), 1528-1543; doi:10.3390/s140101528

RTS Noise and Dark Current White Defects Reduction Using Selective Averaging Based on a Multi-Aperture System

Research Institute of Electronics, Shizuoka University, 3-5-1 Johoku Nakaku Hamamatsu, Shizuoka 432-8011, Japan
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Received: 21 November 2013 / Revised: 7 January 2014 / Accepted: 10 January 2014 / Published: 16 January 2014
(This article belongs to the Special Issue Photonic Sensors for Industrial, Environmental and Health Monitoring)
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Abstract

In extremely low-light conditions, random telegraph signal (RTS) noise and dark current white defects become visible. In this paper, a multi-aperture imaging system and selective averaging method which removes the RTS noise and the dark current white defects by minimizing the synthetic sensor noise at every pixel is proposed. In the multi-aperture imaging system, a very small synthetic F-number which is much smaller than 1.0 is achieved by increasing optical gain with multiple lenses. It is verified by simulation that the effective noise normalized by optical gain in the peak of noise histogram is reduced from 1.38e⁻ to 0.48 e⁻ in a 3 × 3-aperture system using low-noise CMOS image sensors based on folding-integration and cyclic column ADCs. In the experiment, a prototype 3 × 3-aperture camera, where each aperture has 200 × 200 pixels and an imaging lens with a focal length of 3.0 mm and F-number of 3.0, is developed. Under a low-light condition, in which the maximum average signal is 11e⁻ per aperture, the RTS and dark current white defects are removed and the peak signal-to-noise ratio (PSNR) of the image is increased by 6.3 dB. View Full-Text
Keywords: noise reduction; multi-aperture; random telegraph signal (RTS) noise; dark current white defect noise reduction; multi-aperture; random telegraph signal (RTS) noise; dark current white defect
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Zhang, B.; Kagawa, K.; Takasawa, T.; Seo, M.W.; Yasutomi, K.; Kawahito, S. RTS Noise and Dark Current White Defects Reduction Using Selective Averaging Based on a Multi-Aperture System. Sensors 2014, 14, 1528-1543.

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