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27 November 2024 End-to-end infrared imaging system design with diffractive optical element
Runzhou Shi, Yan Zhou, Tian Zhang, Yuqi Shao, Hanwen Zhang, Ruoyan Wei, Jian Bai
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Proceedings Volume 13237, Optical Design and Testing XIV; 1323715 (2024) https://doi.org/10.1117/12.3035460
Event: SPIE/COS Photonics Asia, 2024, Nantong, Jiangsu, China
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Abstract
The hybrid refractive-diffractive optics system exhibits strong capabilities in achromatic and non-thermalized design, as well as information encoding. This paper introduces an innovative end-to-end design scheme for refractive-diffractive hybrid imaging optical systems, which optimizes both optical and neural network parameters simultaneously. An all-ray differentiable ray-tracing model is proposed to integrate lens and diffractive optical elements into a unified design framework, thereby maintaining precision by avoiding wave-to-ray conversion losses. The neural network is constructed based on the imaging characteristics of infrared hybrid optical systems and enhances aberration correction. The proposed method is applied to the design of a single-lens short-wave infrared imaging system, outperforming traditional discrete designs and demonstrating significant potential for infrared optical system applications.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Runzhou Shi, Yan Zhou, Tian Zhang, Yuqi Shao, Hanwen Zhang, Ruoyan Wei, and Jian Bai "End-to-end infrared imaging system design with diffractive optical element", Proc. SPIE 13237, Optical Design and Testing XIV, 1323715 (27 November 2024); https://doi.org/10.1117/12.3035460
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KEYWORDS
Diffractive optical elements
Infrared imaging
Image restoration
Neural networks
Optical design
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