1.

Record Nr.

UNINA9910299893803321

Autore

Boukhayma Assim

Titolo

Ultra Low Noise CMOS Image Sensors            / / by Assim Boukhayma

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

3-319-68774-3

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (XIV, 180 p. 110 illus., 69 illus. in color.)

Collana

Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053

Disciplina

621.395

Soggetti

Electronics

Microelectronics

Signal processing

Image processing

Speech processing systems

Electronic circuits

Electronics and Microelectronics, Instrumentation

Signal, Image and Speech Processing

Circuits and Systems

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"Doctoral Thesis accepted by Ecole Polytechnique Federale de Lausanne, Switzerland."

Nota di bibliografia

Includes bibliographical references at the end of each chapters.

Nota di contenuto

Introduction -- Low-Noise CMOS Image Sensors -- Noise Sources and Mechanisms in CIS -- Detailed Noise Analysis in Low-Noise CMOS Image Sensors -- Noise Reduction in CIS Readout Chains -- Design of a Sub-electron Readout Noise Pixel in a Standard CIS Process -- Characterization of a Sub-electron Readout Noise VGA Imager in a Standard CIS Process -- A Passive Switched-Capacitor Circuit For Correlated Multiple Sampling -- Downscaling Effects Towards Photon Counting Capability in CIS -- An Ultra Low Noise CMOS THz Imager -- Conclusion.

Sommario/riassunto

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.