High Performance Silicon Imaging: Fundamentals and Applications of CMOS and CCD sensors Woodhead Publishing Series in Electronic and Optical Materials | 1 Edition

Compare Textbook Prices for High Performance Silicon Imaging: Fundamentals and Applications of CMOS and CCD sensors Woodhead Publishing Series in Electronic and Optical Materials 1 Edition ISBN 9780857095985 by Durini BSc  PhD, Daniel
Author: Durini BSc PhD, Daniel
ISBN:0857095986
ISBN-13: 9780857095985
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Details about High Performance Silicon Imaging: Fundamentals and Applications of CMOS and CCD sensors Woodhead Publishing Series in Electronic and Optical Materials:

High Performance Silicon Imaging covers the fundamentals of silicon image sensors, with a focus on existing performance issues and potential solutions. The book considers several applications for the technology as well. Silicon imaging is a fast growing area of the semiconductor industry. Its use in cell phone cameras is already well established, and emerging applications include web, security, automotive, and digital cinema cameras.

Part one begins with a review of the fundamental principles of photosensing and the operational principles of silicon image sensors. It then focuses in on charged coupled device (CCD) image sensors and complementary metal oxide semiconductor (CMOS) image sensors. The performance issues considered include image quality, sensitivity, data transfer rate, system level integration, rate of power consumption, and the potential for 3D imaging. Part two then discusses how CMOS technology can be used in a range of areas, including in mobile devices, image sensors for automotive applications, sensors for several forms of scientific imaging, and sensors for medical applications.

High Performance Silicon Imaging is an excellent resource for both academics and engineers working in the optics, photonics, semiconductor, and electronics industries.



  • Covers the fundamentals of silicon-based image sensors and technical advances, focusing on performance issues
  • Looks at image sensors in applications such as mobile phones, scientific imaging, TV broadcasting, automotive, and biomedical applications

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