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Single-layer spatial analog meta-processor for imaging processing

delete2022-04-21
delete93
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OA
AI
Z
Zhuochao Wang
G
Guangwei Hu
汪
汪鑫伟 (Xinwei Wang)
丁
丁旭旻 (Xumin Ding) *
张
张科 (Kuang Zhang) *
李
李浩宇 (Haoyu Li) *
S
Shah Nawaz Burokur *
Q
Qun Wu
刘坚 封面图
刘坚 (Jian Liu)
J
Jiubin Tan
C
Cheng‐Wei Qiu *
DOI:10.1038/s41467-022-29732-4delete
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摘要

摘要

En 中文
Here, the authors propose a Fourier-based metaprocessor to impart customized highly flexible transfer functions for analog computing. Differentiation and cross-correlation are performed to substantiate the ultracompact and high-throughput kernel processor. Computational meta-optics brings a twist on the accelerating hardware with the benefits of ultrafast speed, ultra-low power consumption, and parallel information processing in versatile applications. Recent advent of metasurfaces have enabled the full manipulation of electromagnetic waves within subwavelength scales, promising the multifunctional, high-throughput, compact and flat optical processors. In this trend, metasurfaces with nonlocality or multi-layer structures are proposed to perform analog optical computations based on Green's function or Fourier transform, intrinsically constrained by limited operations or large footprints/volume. Here, we showcase a Fourier-based metaprocessor to impart customized highly flexible transfer functions for analog computing upon our single-layer Huygens' metasurface. Basic mathematical operations, including differentiation and cross-correlation, are performed by directly modulating complex wavefronts in spatial Fourier domain, facilitating edge detection and pattern recognition of various image processing. Our work substantiates an ultracompact and powerful kernel processor, which could find important applications for optical analog computing and image processing.
Keyword:
LAPLACE OPERATOR
COMPACT
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期刊

Nature Communications 封面图
Nature Communications
IF:
15.7
论文数:
9.4W
被引数:
91.2W

机构

H
harbin institute of technology
学者数:
8.0W
论文数: 6.6W
被引数: 66
N
National University of Singapore
学者数:
7.6W
论文数: 6.5W
被引数: 11.4W
引用论文

引用论文

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