Space-Time Nonlocal Metasurfaces for Event-Based Image Processing

Fuente: arXiv
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Hauptverfasser: Esfahani, Sedigheh, Cotrufo, Michele, Alù, Andrea
Format: Preprint
Veröffentlicht: 2024
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author Esfahani, Sedigheh
Cotrufo, Michele
Alù, Andrea
author_facet Esfahani, Sedigheh
Cotrufo, Michele
Alù, Andrea
contents Analog computation with passive optical components can enhance processing speeds and reduce power consumption, recently attracting renewed interest thanks to the opportunities enabled by metasurfaces. Basic image processing tasks, such as spatial differentiation, have been recently demonstrated based on engineered nonlocalities in metasurfaces, but next-generation computational schemes require more advanced capabilities. Here, we tailor nonlocalities in space and time to design a metasurface that can perform mixed spatio-temporal differentiation of an input image, realizing event-based edge detection with a passive ultrathin silicon-based structured film compatible with standard fabrication techniques. The metasurface detects the object edges only when the object moves, and its design can be tailored to selectively enhance objects moving at desired speeds. Our results point towards fully-passive processing of spatio-temporal signals, for highly compact neuromorphic cameras.
format Preprint
id arxiv_https___arxiv_org_abs_2401_06586
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Space-Time Nonlocal Metasurfaces for Event-Based Image Processing
Esfahani, Sedigheh
Cotrufo, Michele
Alù, Andrea
Optics
Analog computation with passive optical components can enhance processing speeds and reduce power consumption, recently attracting renewed interest thanks to the opportunities enabled by metasurfaces. Basic image processing tasks, such as spatial differentiation, have been recently demonstrated based on engineered nonlocalities in metasurfaces, but next-generation computational schemes require more advanced capabilities. Here, we tailor nonlocalities in space and time to design a metasurface that can perform mixed spatio-temporal differentiation of an input image, realizing event-based edge detection with a passive ultrathin silicon-based structured film compatible with standard fabrication techniques. The metasurface detects the object edges only when the object moves, and its design can be tailored to selectively enhance objects moving at desired speeds. Our results point towards fully-passive processing of spatio-temporal signals, for highly compact neuromorphic cameras.
title Space-Time Nonlocal Metasurfaces for Event-Based Image Processing
topic Optics
url https://arxiv.org/abs/2401.06586