Wavelength-tailorable infrared image processing via a metal-siliconhybrid nanostack

Optical imaging processing is an attractive technology for extracting essential information from target objects without any digital computations. Although various nanophotonic devices have been studied for versatile image processing, their transfer function typically relies on extensive optimizations, thus increasing computational costs when faced with arbitrary wavelength requirements. Here, a metal-silicon hybrid nanostack is demonstrated for wavelength-tailorable optical image processing in the near-infrared range. By employing the cavity-induced wavelength/angle-sensitive property, the nanostack with five-layered nanofilms directly manipulates the transmittance of light in the wavevector domain, and performs edge-enhanced imaging and bright-field imaging in different wavelength channels. Moreover, due to the dual Fabry-Perot cavity architecture, the operating wavelength of the nanostack can be effectively and continuously tuned from 850 nm to 1250 nm by merely scaling the silicon layer thickness, beyond re-optimization strategies. The proposed nanostack with a simple architecture is easy to fabricate and integrate into compact optical imaging systems and suggests practical applications in machine vision, optical computing, and intelligent image recognition.

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Publication Details

Journal
Optics Letters
Published
2026-02-17
DOI
https://doi.org/10.1364/ol.591466
Primary Topic
Plasmonic and Surface Plasmon Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Wavelength-tailorable infrared image processing via a metal-siliconhybrid nanostack

Chengwei Wan, Chenjie Dai, Zhe Li, Tianyu Liu et al.
Optics Letters
Plasmonic and Surface Plasmon Research
article

Wavelength-tailorable infrared image processing via a metal-siliconhybrid nanostack

Chengwei Wan, Chenjie Dai, Zhe Li, Tianyu Liu, Jiao Tang, Xiaofeng Dong, Wen-Xing Yang
article en

Abstract

Optical imaging processing is an attractive technology for extracting essential information from target objects without any digital computations. Although various nanophotonic devices have been studied for versatile image processing, their transfer function typically relies on extensive optimizations, thus increasing computational costs when faced with arbitrary wavelength requirements. Here, a metal-silicon hybrid nanostack is demonstrated for wavelength-tailorable optical image processing in the near-infrared range. By employing the cavity-induced wavelength/angle-sensitive property, the nanostack with five-layered nanofilms directly manipulates the transmittance of light in the wavevector domain, and performs edge-enhanced imaging and bright-field imaging in different wavelength channels. Moreover, due to the dual Fabry-Perot cavity architecture, the operating wavelength of the nanostack can be effectively and continuously tuned from 850 nm to 1250 nm by merely scaling the silicon layer thickness, beyond re-optimization strategies. The proposed nanostack with a simple architecture is easy to fabricate and integrate into compact optical imaging systems and suggests practical applications in machine vision, optical computing, and intelligent image recognition.

Optics LettersVol. 51(6)
Hunan Normal University (CN), Hubei University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 53%
Plasmonic and Surface Plasmon Research
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