Physics-based imaging system simulation : validation and applications

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Abstract/Contents

Abstract
The color technology invented by James Clerk Maxwell in 1855 and implemented by Thomas Sutton in 1861 is the basis of modern color imaging. Maxwell fully appreciated the significance of Thomas Young's trichromatic theory of perception, and he used this knowledge to design an imaging system. The insight of trichromacy remains central to modern imaging, but the specific imaging technologies are unimaginably faster, higher quality, and portable. In the modern age, components in a new imaging system are expected to work smoothly with each other. These advanced imaging systems have a very complex design, and building such systems requires extensive prototyping, which can be time-consuming and costly. Any part of the work that can be done using software simulation can speed the design and optimization process. The "Image Systems Engineering Toolbox" (ISET) is a tool for system simulation. The system simulated the physics of scenes, how the light propagates through optics, and how the irradiance was converted into electrons by sensors. Different post processing algorithms can be applied on the simulated raw image sensor data. The work in this dissertation evaluates the new extensions of the ISET platform and demonstrates the benefits of using the physics-based end-to-end simulation tools that are available in ISET for developing next generation of imaging systems for varies applications.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2022; ©2022
Publication date 2022; 2022
Issuance monographic
Language English

Creators/Contributors

Author Lyu, Zheng
Degree supervisor Wandell, Brian A
Thesis advisor Wandell, Brian A
Thesis advisor Solgaard, Olav
Thesis advisor Wetzstein, Gordon
Degree committee member Solgaard, Olav
Degree committee member Wetzstein, Gordon
Associated with Stanford University, Department of Electrical Engineering

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Zheng Lyu.
Note Submitted to the Department of Electrical Engineering.
Thesis Thesis Ph.D. Stanford University 2022.
Location https://purl.stanford.edu/jn116yy9164

Access conditions

Copyright
© 2022 by Zheng Lyu
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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