Accurate camera performance prediction using optical and imaging simulation pipeline for super wide-angle lens

J. Buquet; R. Larouche; J. Parent; P. Roulet; S. Thibault

doi:10.1117/12.2633851

3 October 2022 Accurate camera performance prediction using optical and imaging simulation pipeline for super wide-angle lens

J. Buquet, R. Larouche, J. Parent, P. Roulet, S. Thibault

Author Affiliations +

Proceedings Volume 12217, Current Developments in Lens Design and Optical Engineering XXIII; 122170B (2022) https://doi.org/10.1117/12.2633851
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

Optical design process consists in minimizing aberrations using optimization methods. It relies on key performance indicators (KPIs), such as point spread function (PSF), Modulated transfer function (MTF), or relative illumination (RI) and spot sizes, that depend on lens elements aberrations. Their target values need to be defined -either for human or machine perception- at early stage of the design, which can be complex to do for challenging designs such as extended field of view. We developed an optical and imaging simulation pipeline able to render the effects of complex optical designs and image sensor on an initial aberration-free image. Extracting files from ray tracing software for simulating the PSF and sensor target information, the algorithm accurately renders off-axis aberrations with Zernike polynomials representation combined with noise contribution and relative illumination. The obtained image faithfully represents an optical system performance from the optics to the sensor component and we can then study the impact of additional aberration introduction.

Conference Presentation

Citation Download Citation

J. Buquet, R. Larouche, J. Parent, P. Roulet, and S. Thibault "Accurate camera performance prediction using optical and imaging simulation pipeline for super wide-angle lens", Proc. SPIE 12217, Current Developments in Lens Design and Optical Engineering XXIII, 122170B (3 October 2022); https://doi.org/10.1117/12.2633851

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available