A differentiable wave optics model for end-to-end imaging system optimization

Chi-Jui Ho; Yash Belhe; Steve Rotenberg; Ravi Ramamoorthi; Tzu-Mao Li; Nick Antipa

doi:10.1117/12.3001139

13 March 2024 A differentiable wave optics model for end-to-end imaging system optimization

Chi-Jui Ho, Yash Belhe, Steve Rotenberg, Ravi Ramamoorthi, Tzu-Mao Li, Nick Antipa

Proceedings Volume PC12903, AI and Optical Data Sciences V; PC129030E (2024) https://doi.org/10.1117/12.3001139
Event: SPIE OPTO, 2024, San Francisco, California, United States

Abstract

In imaging system design, computational applications and optical components are interdependent. End-to-end optimization, jointly optimizing hardware and software, is a prevalent approach. However, most optical simulators use ray optic models, which may lack real-world fidelity. We propose a differentiable wave optics model that accurately simulates light propagation. It exposes performance disparities among physical models. Integrated with unrolled FISTA and color filters, the system consistently yields clear measurements and accurate recovery. By noting the performance degradation caused by deviations from real-world physics, our wave optics model is a superior choice for end-to-end imaging system design.

Conference Presentation

Citation Download Citation

Chi-Jui Ho, Yash Belhe, Steve Rotenberg, Ravi Ramamoorthi, Tzu-Mao Li, and Nick Antipa "A differentiable wave optics model for end-to-end imaging system optimization", Proc. SPIE PC12903, AI and Optical Data Sciences V, PC129030E (13 March 2024); https://doi.org/10.1117/12.3001139

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