光学
图像处理
材料科学
图像质量
信号处理
红外线的
数字图像处理
空间频率
傅里叶变换
分束器
杂散光
点扩散函数
折射率
图像分辨率
散斑噪声
空间滤波器
数据处理
降噪
光学相干层析成像
作者
Tianyu Liu,Xiaofeng Dong,Chengwei Wan,Jiao Tang,Zhe Li,Wen-Xing Yang,Chenjie Dai
出处
期刊:Optics Letters
[Optica Publishing Group]
日期:2026-02-17
卷期号:51 (6): 1464-1464
摘要
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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