Hybrid Meta-Optics Enabled Compact Augmented Reality Display with Computational Image Reinforcement

被引:1
作者
Chen, Qikai [1 ]
Zhou, Jiacheng [1 ]
Pian, Sijie [1 ]
Xu, Jingang [2 ]
Li, Xingyi [3 ]
Li, Bihua [2 ]
Lu, Chentao [1 ]
Wang, Zhuning [1 ]
Jiang, Qi [2 ]
Qin, Shanhe [1 ]
Zhan, Hantao [1 ]
Zhang, Benhao [2 ]
Liu, Xu [1 ]
Wang, Kaiwei [1 ]
Ma, Yaoguang [1 ]
机构
[1] Zhejiang Univ, Intelligent Opt & Photon Res Ctr, State Key Lab Extreme Photon & Instrumentat, Coll Opt Sci & Engn,ZJU Hangzhou Global Sci & Tech, Hangzhou 310027, Peoples R China
[2] Sunny Opt Zhe Jiang Res Inst CO LTD, Hangzhou 310027, Peoples R China
[3] Najing Technol, Hangzhou 310027, Peoples R China
来源
ACS PHOTONICS | 2024年 / 11卷 / 09期
基金
中国国家自然科学基金;
关键词
metasurface refractive hybrid; AR display; FoV; neural network; ACHROMATIC METALENS; BANDWIDTH;
D O I
10.1021/acsphotonics.4c00989
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Design challenges in reducing the size, weight, and off-axis aberrations of projection lenses often pose obstacles to the miniaturization of augmented reality (AR) devices like glasses. Here, we present a meta/refractive hybrid lenses (MRL)-based AR projection display illuminated with a MicroLED. The compact system features commercial ability with an entrance pupil diameter of 3.2 mm and a total track length (TTL) less than 7.7 mm, achieving superior resolution and minimal off-axis aberrations with distortion < 2% across a 30 degrees field of view (FoV). The AR glass result also incorporates a hardware-inspired correction neural network with an apparent point-spread-function (PSF) feature. A predeconvolution from light source further corrects the residual system aberration, reinforcing AR image quality. Experiments with this computational enhancement method demonstrate a promoted similarity to the ground truth, validating its reliability and feasibility in increasing the yield rate of compact AR devices.
引用
收藏
页码:3794 / 3803
页数:10
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