Overview
- Nominated as an outstanding PhD thesis by École Polytechnique Fédérale de Lausanne, Swizterland
- Reports best-in-class results obtained in standard CMOS processes
- Shows how technology downscaling can improve the read noise in CIS
- Reports comprehensive noise analysis and efficient noise reduction techniques verified with simulations and physical implementations
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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About this book
This thesis provides a thorough noise analysis for conventional CIS readout chains, while also presenting and discussing a variety of noise reduction techniques that allow the read noise in standard processes to be optimized. Two physical implementations featuring sub-0.5-electron RMS are subsequently presented to verify the proposed noise reduction techniques and provide a full characterization of a VGA imager. Based on the verified noise calculation, the impact of the technology downscaling on the input-referred noise is also studied.
Further, the thesis covers THz CMOS image sensors and presents an original design that achieves ultra-low-noise performance. Last but not least, it provides a comprehensive review of CMOS image sensors.
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Keywords
Table of contents (11 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Ultra Low Noise CMOS Image Sensors
Authors: Assim Boukhayma
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-68774-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-68773-5Published: 07 December 2017
Softcover ISBN: 978-3-319-88657-2Published: 04 September 2018
eBook ISBN: 978-3-319-68774-2Published: 28 November 2017
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XIV, 180
Number of Illustrations: 41 b/w illustrations, 69 illustrations in colour
Topics: Electronics and Microelectronics, Instrumentation, Signal, Image and Speech Processing, Circuits and Systems