Physics-based imaging system simulation : validation and applications
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 |
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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 |
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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 |
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Genre | Text |
Bibliographic information
Statement of responsibility | Zheng Lyu. |
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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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