{"title":"Reconstructing visible-near-infrared hyperspectral images via liquid crystal based optoelectronic hybrid neural network","authors":"Shiqi Li, Hui Li, Tian Li, Xiaoyue Song, Yuntao Wu","doi":"10.1016/j.optlastec.2025.112521","DOIUrl":null,"url":null,"abstract":"<div><div>We introduce an Optoelectronic Hybrid Neural Network (OHNN) that integrates software and hardware optimizations to enable the simultaneous reconstruction of visible-near-infrared (VIS-NIR) hyperspectral images. The network employs a linear polarizer (LP) and liquid crystal (LC) microlens array (MLA). We harness the polarization and electrically controlled tunable properties of LC-MLA in conjunction with digital optics technology to construct a software-defined dispersion element digital prism (DP). The OHNN can reconstruct VIS-NIR hyperspectral images, ranging from 400 nm to 900 nm, from limited datasets with a spectral accuracy of 10 nm. The reconstructed hyperspectral images boast a Peak signal-to-noise ratio of approximately 31 dB, marking a 3.2 % improvement over existing state-of-the-art methods.</div></div>","PeriodicalId":19511,"journal":{"name":"Optics and Laser Technology","volume":"184 ","pages":"Article 112521"},"PeriodicalIF":4.6000,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optics and Laser Technology","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0030399225001094","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0
Abstract
We introduce an Optoelectronic Hybrid Neural Network (OHNN) that integrates software and hardware optimizations to enable the simultaneous reconstruction of visible-near-infrared (VIS-NIR) hyperspectral images. The network employs a linear polarizer (LP) and liquid crystal (LC) microlens array (MLA). We harness the polarization and electrically controlled tunable properties of LC-MLA in conjunction with digital optics technology to construct a software-defined dispersion element digital prism (DP). The OHNN can reconstruct VIS-NIR hyperspectral images, ranging from 400 nm to 900 nm, from limited datasets with a spectral accuracy of 10 nm. The reconstructed hyperspectral images boast a Peak signal-to-noise ratio of approximately 31 dB, marking a 3.2 % improvement over existing state-of-the-art methods.
期刊介绍：
Optics & Laser Technology aims to provide a vehicle for the publication of a broad range of high quality research and review papers in those fields of scientific and engineering research appertaining to the development and application of the technology of optics and lasers. Papers describing original work in these areas are submitted to rigorous refereeing prior to acceptance for publication.
The scope of Optics & Laser Technology encompasses, but is not restricted to, the following areas:
•development in all types of lasers
•developments in optoelectronic devices and photonics
•developments in new photonics and optical concepts
•developments in conventional optics, optical instruments and components
•techniques of optical metrology, including interferometry and optical fibre sensors
•LIDAR and other non-contact optical measurement techniques, including optical methods in heat and fluid flow
•applications of lasers to materials processing, optical NDT display (including holography) and optical communication
•research and development in the field of laser safety including studies of hazards resulting from the applications of lasers (laser safety, hazards of laser fume)
•developments in optical computing and optical information processing
•developments in new optical materials
•developments in new optical characterization methods and techniques
•developments in quantum optics
•developments in light assisted micro and nanofabrication methods and techniques
•developments in nanophotonics and biophotonics
•developments in imaging processing and systems
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