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  • © 2018

Ultra Low Noise CMOS Image Sensors

Authors:

  • 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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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xiv
  2. Introduction

    • Assim Boukhayma
    Pages 1-11
  3. Low-Noise CMOS Image Sensors

    • Assim Boukhayma
    Pages 13-34
  4. Noise Sources and Mechanisms in CIS

    • Assim Boukhayma
    Pages 35-60
  5. Noise Reduction in CIS Readout Chains

    • Assim Boukhayma
    Pages 85-99
  6. An Ultra Low Noise CMOS THz Imager

    • Assim Boukhayma
    Pages 145-166
  7. Conclusion

    • Assim Boukhayma
    Pages 167-173
  8. Back Matter

    Pages 175-180

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.

Authors and Affiliations

  • STI IMT ICLAB, École Polytechnique Fédérale de Lausanne, Neuchâtel 2, Switzerland

    Assim Boukhayma

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

Buy it now

Buying options

eBook USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access