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Open AccessJournal ArticleDOI

CMOS image sensors: electronic camera-on-a-chip

Eric R. Fossum
- 01 Oct 1997 - 
- Vol. 44, Iss: 10, pp 1689-1698
TLDR
In this article, the requirements for CMOS image sensors and their historical development, CMOS devices and circuits for pixels, analog signal chain, and on-chip analog-to-digital conversion are reviewed and discussed.
Abstract
CMOS active pixel sensors (APS) have performance competitive with charge-coupled device (CCD) technology, and offer advantages in on-chip functionality, system power reduction, cost, and miniaturization. This paper discusses the requirements for CMOS image sensors and their historical development, CMOS devices and circuits for pixels, analog signal chain, and on-chip analog-to-digital conversion are reviewed and discussed.

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Citations
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Journal ArticleDOI

Using an active pixel sensor in a vertex detector

TL;DR: In this paper, the effect of radiation with 55 MeV protons on active pixel CMOS sensors was studied and it was shown that a fluence of about 2 x 10{sup 12} protons/cm{sup 2} reduces the signal by a factor of two while the noise increases by 25%.
Journal ArticleDOI

A smart sensor-based vision system: implementation and evaluation

TL;DR: PARIS1 (Programmable Analog Retina-like Image Sensor1) is the first prototype used to evaluate the architecture of an on-chip vision system based on such a sensor coupled with a microcontroller.
Proceedings ArticleDOI

Total ionizing dose effects on I-V and noise characteristics of MOS transistors in a 0.18 μm CMOS Image Sensor process

TL;DR: In this article, the authors investigated the effects of total ionizing dose (TID) on I-V and noise characteristics of MOS transistors manufactured in a 0.18 μm CMOS Image Sensor (CIS) process.
Journal ArticleDOI

A high speed tri-vision system for automotive applications

TL;DR: The synchronisation technique presented may also benefit several other automotive stereovision applications including near and far-field obstacle detection and collision avoidance, road condition monitoring and others.
Book ChapterDOI

Applications of Image Processing Technique in Porous Material Characterization

Ming Gan, +1 more
TL;DR: This chapter will focus on optical measurement technique and related image processing methods, and use porous materials as specimens to detect and evaluate defects, or measure properties of different types of materials and engineering structures.
References
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Journal ArticleDOI

Charge coupled semiconductor devices

TL;DR: A new semiconductor device concept that consists of storing charge in potential wells created at the surface of a semiconductor and moving the charge over the surface by moving the potential minima is described.
Journal Article

CMOS image sensors: Electronic camera-on-a-chip

TL;DR: In this article, the requirements for CMOS image sensors and their historical development, CMOS devices and circuits for pixels, analog signal chain, and on-chip analog-to-digital conversion are reviewed and discussed.
Journal ArticleDOI

CMOS active pixel image sensors for highly integrated imaging systems

TL;DR: In this paper, a family of CMOS-based active pixel image sensors (APSs) that are inherently compatible with the integration of on-chip signal processing circuitry is reported.
Proceedings ArticleDOI

Active Pixel Sensors: Are CCD's Dinosaurs?

TL;DR: ActivePixel Sensor (APS) as mentioned in this paper is a detector array technology that has at least one active transistor within the pixel unit cell, which eliminates the need for nearly perfect charge transfer, which makes CCD's radiation'soft' and difficult to use under low light conditions, difficult to integrate with on-chip electronics, difficulty to use at low temperatures, and difficulty to manufacture in non-silicon materials that extend wavelength response.
Journal ArticleDOI

CMOS active pixel image sensor

TL;DR: In this paper, a 2.0 /spl mu/m double-poly, double-metal foundry CMOS active pixel image sensor is reported, which uses TTL compatible voltages, low noise and large dynamic range, and is useful in machine vision and smart sensor applications.
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