Presentation
6 October 2023 Multi-dimensional snapshot imaging with encoding metasurfaces
Xingjie Ni, Lidan Zhang, Chen Zhou, Yimin Ding, Hyun-Ju Ahn, Shengyuan Chang, Yao Duan, Xi Chen, Md Tarek Rahman, Tunan Xia, Cheng-Yu Wang, Zhiwen Liu
Author Affiliations +
Abstract
Traditional cameras are limited to capturing only the intensity distribution of light, lacking other important information. We present a novel approach to overcome this limitation by incorporating metasurfaces - thin layers of nanostructures - into standard cameras. These metasurfaces can encode light information of different dimensions, including polarization, frequency, and time, through the unique optical responses of their constituent meta-atoms. As a result, a single snapshot of the light field can capture all its properties. We also use deep-learning-based recovery algorithms that enable real-time retrieval of multi-dimensional images. This breakthrough has enormous potential to revolutionize the way we collect and analyze light information, leading to new applications and insights in various fields.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xingjie Ni, Lidan Zhang, Chen Zhou, Yimin Ding, Hyun-Ju Ahn, Shengyuan Chang, Yao Duan, Xi Chen, Md Tarek Rahman, Tunan Xia, Cheng-Yu Wang, and Zhiwen Liu "Multi-dimensional snapshot imaging with encoding metasurfaces", Proc. SPIE PC12681, Ultrafast Nonlinear Imaging and Spectroscopy XI, PC1268107 (6 October 2023); https://doi.org/10.1117/12.2681472
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KEYWORDS
Cameras

Image retrieval

Nanostructures

Polarization

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