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. Th...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ACS photonics 2024-09, Vol.11 (9), p.3794-3803
Hauptverfasser: Chen, Qikai, Zhou, Jiacheng, Pian, Sijie, Xu, Jingang, Li, Xingyi, Li, Bihua, Lu, Chentao, Wang, Zhuning, Jiang, Qi, Qin, Shanhe, Zhan, Hantao, Zhang, Benhao, Liu, Xu, Wang, Kaiwei, Ma, Yaoguang
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:2330-4022
2330-4022
DOI:10.1021/acsphotonics.4c00989