Validation of Physics-Based Image Systems Simulation with 3D Scenes

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Abstract

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Validation of Physics-Based Image Systems Simulation with 3D Scenes
Lyu, Goossens, Wandell and Farrell (2022) IEEE Sensors.

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Abstract— Image systems simulation software can accelerate innovation by reducing many of the time-consuming and expensive steps in designing, building and evaluating image systems. To realize this potential, it is necessary to build trust in physics-based end-to-end image
systems simulations. Towards this goal, we describe and experimentally validate an end-to-end physics-based image systems simulation of a digital camera. The simulation models the spectral radiance of 3D-scenes, formation of the spectral irradiance by multi-element optics, and conversion of the irradiance to digital values by the image sensor. We quantify the accuracy of the simulation by comparing real and simulated images of a precisely constructed, three-dimensional high dynamic range test scene.

Description

Type of resource Dataset, still image
Date created August 30, 2022
Publication date August 30, 2022; August 30, 2022

Creators/Contributors

Author Lyu, Zheng
Author Farrell, Joyce
Advisor Wandell, Brian

Subjects

Subject Image systems
Subject Optics
Subject image sensor
Subject physically based ray tracing
Subject end-to-end simulation
Subject Computer graphics
Genre Data
Genre Database
Genre Documentation
Genre Image
Genre Data sets
Genre Dataset
Genre Databases

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DOI https://doi.org/10.25740/jz021qy7454
Location https://purl.stanford.edu/jz021qy7454

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User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License
This work is licensed under an Open Data Commons Attribution License v1.0.

Preferred citation

Preferred citation
Lyu, Z. and Wandell, B. (2022). Validation of Physics-Based Image Systems Simulation with 3D Scenes. Stanford Digital Repository. Available at https://purl.stanford.edu/jz021qy7454

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