Meta-Attention Network Based Spectral Reconstruction with Snapshot Near-Infrared Metasurface

Meta-Attention Network Based Spectral Reconstruction with Snapshot Near-Infrared Metasurface

© 2024 Wiley‐VCH GmbH.

Bibliographische Detailangaben
Veröffentlicht in:Advanced materials (Deerfield Beach, Fla.). - 1998. - 36(2024), 23 vom: 03. Juni, Seite e2313357
1. Verfasser: He, Haoyang (VerfasserIn)
Weitere Verfasser: Zhang, Yuzhe, Shao, Yujie, Zhang, Yan, Geng, Guangzhou, Li, Junjie, Li, Xin, Wang, Yongtian, Bian, Liheng, Zhang, Jun, Huang, Lingling
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Advanced materials (Deerfield Beach, Fla.)
Schlagworte:Journal Article attention guided network near‐infrared metasurface snapshot spectral imaging
Beschreibung
Zusammenfassung:© 2024 Wiley‐VCH GmbH.
Near-infrared (NIR) spectral information is important for detecting and analyzing material compositions. However, snapshot NIR spectral imaging systems still pose significant challenges owing to the lack of high-performance NIR filters and bulky setups, preventing effective encoding and integration with mobile devices. This study introduces a snapshot spectral imaging system that employs a compact NIR metasurface featuring 25 distinct C4 symmetry structures. Benefitting from the sufficient spectral variety and low correlation coefficient among these structures, center-wavelength accuracy of 0.05 nm and full width at half maximum accuracy of 0.13 nm are realized. The system maintains good performance within an incident angle of 1°. A novel meta-attention network prior iterative denoising reconstruction (MAN-IDR) algorithm is developed to achieve high-quality NIR spectral imaging. By leveraging the designed metasurface and MAN-IDR, the NIR spectral images, exhibiting precise textures, minimal artifacts in the spatial dimension, and little crosstalk between spectral channels, are reconstructed from a single grayscale recording image. The proposed NIR metasurface and MAN-IDR hold great promise for further integration with smartphones and drones, guaranteeing the adoption of NIR spectral imaging in real-world scenarios such as aerospace, health diagnostics, and machine vision
Beschreibung:Date Revised 07.06.2024
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
ISSN:1521-4095
DOI:10.1002/adma.202313357