Nonlocal flat optics for size-selective image processing and denoising

All-optical image processing based on metasurfaces is a swiftly advancing field of technology, due to its high speed, large integrability and inherently low energy requirements. So far, the proposed devices have been focusing on canonical operations, such as differentiations to perform edge detection across all objects in a complex scene. Yet, undesired background noise and clutter can hinder such operations, requiring target selection with digital post-processing which inherently limits the overall accuracy, efficiency and speed. Here, we introduce an optical solution for real-time size-selective image processing and experimentally demonstrate the concept with a metal-dielectric-metal film performing a spatial band-pass filter in momentum space. We show high-resolution (~0.9 μm) edge detection and real-time dynamic denoising, ideally suited for bio-imaging applications and target recognitions. Our demonstrated k-space filtering metasurface expands the scope of nonlocal flat optics for analog image processing, ushering in opportunities for ultra-compact, cost-effective, and multifunctional image processors.

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Publication Details

Journal
Nature Communications
Published
2025-05-14
DOI
https://doi.org/10.1038/s41467-025-59765-4
Citations
9
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
6.57

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article

Nonlocal flat optics for size-selective image processing and denoising

Fei Zhu, Andrea Alù, Guohua Xing, Mehdi Kiani et al.
9 citations
Nature Communications
Photonic and Optical Devices
6.57
article

Nonlocal flat optics for size-selective image processing and denoising

Fei Zhu, Andrea Alù, Guohua Xing, Mehdi Kiani, Heedong Goh, Yuntong Wang, Yandong Fan, Chunqi Jin, Tian Bai, Wei Li, Bo Li, Shuyu Guo, Chen Huang, Sandeep Kumar Chamoli
article en
9 citations

Abstract

All-optical image processing based on metasurfaces is a swiftly advancing field of technology, due to its high speed, large integrability and inherently low energy requirements. So far, the proposed devices have been focusing on canonical operations, such as differentiations to perform edge detection across all objects in a complex scene. Yet, undesired background noise and clutter can hinder such operations, requiring target selection with digital post-processing which inherently limits the overall accuracy, efficiency and speed. Here, we introduce an optical solution for real-time size-selective image processing and experimentally demonstrate the concept with a metal-dielectric-metal film performing a spatial band-pass filter in momentum space. We show high-resolution (~0.9 μm) edge detection and real-time dynamic denoising, ideally suited for bio-imaging applications and target recognitions. Our demonstrated k-space filtering metasurface expands the scope of nonlocal flat optics for analog image processing, ushering in opportunities for ultra-compact, cost-effective, and multifunctional image processors.

Nature CommunicationsVol. 16(1)
The Graduate Center, CUNY (US), City University of New York (US), Jilin University (CN), Changchun Institute of Optics, Fine Mechanics and Physics (CN), CUNY Advanced Science Research Center (US), Jilin Province Science and Technology Department (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Photonic and Optical Devices
6.57
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