Quantum-inspired computational imaging

Altmann, Y., McLaughlin, S., Padgett, M. J. , Goyal, V. K., Hero, A. O. and Faccio, D. (2018) Quantum-inspired computational imaging. Science, 361(6403), eaat2298. (doi: 10.1126/science.aat2298) (PMID:30115781)

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Computational imaging combines measurement and computational methods with the aim of forming images even when the measurement conditions are weak, few in number, or highly indirect. The recent surge in quantum-inspired imaging sensors, together with a new wave of algorithms allowing on-chip, scalable and robust data processing, has induced an increase of activity with notable results in the domain of low-light flux imaging and sensing. We provide an overview of the major challenges encountered in low-illumination (e.g., ultrafast) imaging and how these problems have recently been addressed for imaging applications in extreme conditions. These methods provide examples of the future imaging solutions to be developed, for which the best results are expected to arise from an efficient codesign of the sensors and data analysis tools.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Faccio, Professor Daniele and Padgett, Professor Miles
Authors: Altmann, Y., McLaughlin, S., Padgett, M. J., Goyal, V. K., Hero, A. O., and Faccio, D.
College/School:College of Science and Engineering > School of Physics and Astronomy
Journal Name:Science
Publisher:American Association for the Advancement of Science
ISSN (Online):1095-9203
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Science 361(6403): eaat2298
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
190841UK Quantum Technology Hub in Enhanced Quantum ImagingMiles PadgettEngineering and Physical Sciences Research Council (EPSRC)EP/M01326X/1P&S - Physics & Astronomy