End-to-end metasurface inverse design for NIR computational imaging

Chang Wang; Qiangbo Zhang; Xinyu Liu; Yang Zhang; Zhou Xu; Zhenrong Zheng

doi:10.1117/12.2687265

27 November 2023 End-to-end metasurface inverse design for NIR computational imaging

Chang Wang, Qiangbo Zhang, Xinyu Liu, Yang Zhang, Zhou Xu, Zhenrong Zheng

Proceedings Volume 12767, Optoelectronic Imaging and Multimedia Technology X; 1276702 (2023) https://doi.org/10.1117/12.2687265
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Abstract

The remarkable ability of metasurfaces to manipulate wavefronts in a versatile manner, coupled with their compact and ultrathin configuration, has garnered significant interest. These characteristics make metasurfaces ideally suited for fulfilling the demands of compact computational imaging systems. In this research endeavor, we present a comprehensive metasurface inverse design model, which operates in an end-to-end method, within a joint optimization framework for computational imaging. To exemplify its efficacy, we demonstrate the application of this model using silicon meta-atoms, showcasing its potential for broadband near-infrared imaging. This work contributes to the advancement of computational imaging techniques, providing a promising avenue for future developments in the field.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chang Wang, Qiangbo Zhang, Xinyu Liu, Yang Zhang, Zhou Xu, and Zhenrong Zheng "End-to-end metasurface inverse design for NIR computational imaging", Proc. SPIE 12767, Optoelectronic Imaging and Multimedia Technology X, 1276702 (27 November 2023); https://doi.org/10.1117/12.2687265

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