The University of Southampton
University of Southampton Institutional Repository

All-optical pattern recognition and image processing on a metamaterial beam splitter

All-optical pattern recognition and image processing on a metamaterial beam splitter
All-optical pattern recognition and image processing on a metamaterial beam splitter
Recognition, comparison and analysis of large patterns or images are computationally intensive tasks that can be more efficiently addressed by inherently parallel optical techniques than sequential electronic data processing. However, existing all-optical image processing and pattern recognition methods based on optical nonlinearities are limited by an unavoidable trade-off between speed and intensity requirements. Here we propose and experimentally demonstrate a technique for recognition and analysis of binary images that is based on the linear interaction of light with light on a lossy metamaterial beam splitter of substantially sub-wavelength thickness. Similarities and differences between arbitrarily complex binary images are mapped directly with a camera for real-time qualitative analysis. Regarding quantitative analysis, agreement, disagreement and any other set operation between the patterns can be determined from power measurements acquired with a photodetector. In contrast to nonlinear techniques, that require high intensities to activate the nonlinear response, the image analysis method described here can be performed at low intensities and high speed limited only by the detector noise and response time.
pattern recognition, image analysis, coherent perfect absorption, metamaterial, metasurface, beam splitter
217-222
Papaioannou, Maria
489b597a-22af-42bb-9637-a5dbe55553fb
Plum, Eric
50761a26-2982-40df-9153-7aecc4226eb5
Zheludev, Nikolay
32fb6af7-97e4-4d11-bca6-805745e40cc6
Papaioannou, Maria
489b597a-22af-42bb-9637-a5dbe55553fb
Plum, Eric
50761a26-2982-40df-9153-7aecc4226eb5
Zheludev, Nikolay
32fb6af7-97e4-4d11-bca6-805745e40cc6

Papaioannou, Maria, Plum, Eric and Zheludev, Nikolay (2017) All-optical pattern recognition and image processing on a metamaterial beam splitter. ACS Photonics, 4, 217-222. (doi:10.1021/acsphotonics.6b00921).

Record type: Article

Abstract

Recognition, comparison and analysis of large patterns or images are computationally intensive tasks that can be more efficiently addressed by inherently parallel optical techniques than sequential electronic data processing. However, existing all-optical image processing and pattern recognition methods based on optical nonlinearities are limited by an unavoidable trade-off between speed and intensity requirements. Here we propose and experimentally demonstrate a technique for recognition and analysis of binary images that is based on the linear interaction of light with light on a lossy metamaterial beam splitter of substantially sub-wavelength thickness. Similarities and differences between arbitrarily complex binary images are mapped directly with a camera for real-time qualitative analysis. Regarding quantitative analysis, agreement, disagreement and any other set operation between the patterns can be determined from power measurements acquired with a photodetector. In contrast to nonlinear techniques, that require high intensities to activate the nonlinear response, the image analysis method described here can be performed at low intensities and high speed limited only by the detector noise and response time.

Text
CoherentPatternRecognition_ACS_rev.pdf - Accepted Manuscript
Download (994kB)

More information

Accepted/In Press date: 1 February 2017
e-pub ahead of print date: 1 February 2017
Published date: 15 February 2017
Keywords: pattern recognition, image analysis, coherent perfect absorption, metamaterial, metasurface, beam splitter
Organisations: Optoelectronics Research Centre

Identifiers

Local EPrints ID: 405398
URI: http://eprints.soton.ac.uk/id/eprint/405398
PURE UUID: e954756e-a832-4998-9888-e3d504c92c06
ORCID for Maria Papaioannou: ORCID iD orcid.org/0000-0002-5078-0514
ORCID for Eric Plum: ORCID iD orcid.org/0000-0002-1552-1840
ORCID for Nikolay Zheludev: ORCID iD orcid.org/0000-0002-1013-6636

Catalogue record

Date deposited: 03 Feb 2017 11:55
Last modified: 17 Dec 2019 06:24

Export record

Altmetrics

Contributors

Author: Maria Papaioannou ORCID iD
Author: Eric Plum ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×