JOURNAL ARTICLE

Transversal-readout CMOS active pixel image sensor

Shigehiro MiyatakeKouichi IshidaTakashi MorimotoYasuo MasakiHideki Tanabe

Year: 2001 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 4306 Pages: 128-128   Publisher: SPIE

Abstract

This paper presents a CMOS active pixel image sensor (APS) with a transversal readout architecture that eliminates the vertically striped fixed pattern noise (FPN). There are two kinds of FPNs for CMOS APSs. One originates form the pixel- to-pixel variation in dark current and source-follower threshold voltage, and the other from the column-to-column variation in column readout structures. The former may become invisible in the future due to process improvements. However, the latter, which result sin a vertically striped FPN, is and will be conspicuous without some subtraction because of the correlation in the vertical direction. The pixel consists of a photodiode, a row- and a column-reset transistor, a source follower input transistor, and a column-select transistor instead of the row-select transistor in conventional CMOS APSs. The column-select transistor is connected to a signal line, which runs horizontally instead of vertically. Every horizontal signal line is merged into a single vertical signal line via a row- select transistor, which can be made large enough to make its on-resistence variation negligible because of its low driving frequency. Therefore, the sensor has neither a vertical nor horizontal stripe FPN.

Keywords:
Transistor Pixel CMOS Fixed-pattern noise Image sensor Column (typography) SIGNAL (programming language) Photodiode Physics Dot pitch CMOS sensor Noise (video) Computer science Optics Optoelectronics Voltage Electrical engineering Artificial intelligence Image (mathematics) Telecommunications Engineering

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3
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0.73
FWCI (Field Weighted Citation Impact)
0
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0.76
Citation Normalized Percentile
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Topics

CCD and CMOS Imaging Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Infrared Target Detection Methodologies
Physical Sciences →  Engineering →  Aerospace Engineering
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology

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