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

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° 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.

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Publication Details

Journal
ACS Photonics
Published
2024-09-06
DOI
https://doi.org/10.1021/acsphotonics.4c00989
Citations
24
Primary Topic
Advanced Optical Imaging Technologies
Type
article
Field-Weighted Citation Impact
7.67

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article

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

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ACS Photonics
Advanced Optical Imaging Technologies
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article

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

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article en
24 citations

Abstract

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° 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.

ACS PhotonicsVol. 11(9)
Zhejiang University (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, National Key Research and Development Program of China, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 2%
Advanced Optical Imaging Technologies
7.67
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