Dr. Peter B. Catrysse
Sr. Research Engineer at Stanford Univ
SPIE Involvement:
Author | Instructor
Publications (28)

Proceedings Article | 17 March 2023 Presentation
Proceedings Volume PC12432, PC124320A (2023) https://doi.org/10.1117/12.2647788
KEYWORDS: Polarization, CMOS sensors, Image sensors, Optical filters, Optical properties, Numerical simulations

Proceedings Article | 5 September 2019 Presentation + Paper
Proceedings Volume 11080, 110801W (2019) https://doi.org/10.1117/12.2527212
KEYWORDS: Polarization, Metamaterials, Scattering, Magnetism, Rayleigh scattering, Light scattering, Wave propagation, Electromagnetic scattering, Anisotropy

Proceedings Article | 14 March 2018 Presentation
Proceedings Volume 10541, 105411A (2018) https://doi.org/10.1117/12.2291114
KEYWORDS: Polarization, Imaging spectroscopy, Multispectral imaging, Photonic crystals, Infrared imaging, Infrared radiation, Polarimetry, Metals, Imaging systems, Plasmonics

Proceedings Article | 13 May 2015 Paper
Proceedings Volume 9481, 948102 (2015) https://doi.org/10.1117/12.2180177
KEYWORDS: Optical filters, Integrated optics, Image sensors, Imaging systems, Nanofabrication, Mid-IR, Infrared imaging, CMOS technology, Image filtering, Optical components

Proceedings Article | 14 March 2015 Paper
Proceedings Volume 9361, 936112 (2015) https://doi.org/10.1117/12.2081040
KEYWORDS: Diffraction, Anisotropy, Metamaterials, Electromagnetism, Structured photonic materials, Waveguides, Lenses, Radio propagation, Interfaces, Nanofabrication

Showing 5 of 28 publications
Conference Committee Involvement (8)
Digital Photography and Mobile Imaging XI
9 February 2015 | San Francisco, California, United States
Digital Photography X
3 February 2014 | San Francisco, California, United States
Digital Photography IX
4 February 2013 | Burlingame, California, United States
Digital Photography VIII
23 January 2012 | Burlingame, California, United States
Digital Photography VII
24 January 2011 | San Francisco Airport, California, United States
Showing 5 of 8 Conference Committees
Course Instructor
SC762: Device Simulation for Image Quality Evaluation
Customers judge the image quality of a digital camera by viewing the final rendered output. Achieving a high quality output depends on the multiple system components, including the optical system, imaging sensor, image processor and display device. Consequently, analyzing components singly, without reference to the characteristics of the other components, provides only a limited view of the system performance. An integrated simulation environment, that models the entire imaging pipeline, is a useful tool that improves understanding and guides design. This course will introduce computational models to simulate the scene, optics, sensor, processor, display, and human observer. Example simulations of calibrated devices and imaging algorithms will be used to clarify how specific system components influence the perceived quality of the final output.
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