Simulation and computation of human and camera image systems
Abstract/Contents
- Abstract
- Image systems capture, encode, analyze and reconstruct the information in the visual environment. Most image systems focus on light that is visible to humans with wavelengths ranging from 400 to 800 nm. Though the precise design and capabilities of different types of image systems vary widely, the ultimate goal for the image systems are similar: capture and estimate information in the environment. As Hermann von Helmholtz mentioned in 1857, the sensations of our nerves of sense are mere symbols indicating certain external objects. Bearing this in mind, we can revisit a series of image system problems from the perspective of how the system use the symbols to infer the external objects. In this dissertation, I use simulation and computation methods to address different backward estimation problems for imaging systems. I apply these methods to study two image systems: the human vision system and the consumer digital camera. Although the combination of computation and simulation methods may generate different algorithms and models for each image system, I believe the methodology can be generalized across many types of image systems.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2016 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Jiang, Haomiao |
|---|---|
| Associated with | Stanford University, Department of Electrical Engineering. |
| Primary advisor | Wandell, Brian A |
| Thesis advisor | Wandell, Brian A |
| Thesis advisor | Farrell, Joyce E |
| Thesis advisor | Wetzstein, Gordon |
| Advisor | Farrell, Joyce E |
| Advisor | Wetzstein, Gordon |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Haomiao Jiang. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Haomiao Jiang
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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