Computational ghost imaging with the human brain

Wang, G. and Faccio, D. (2023) Computational ghost imaging with the human brain. Intelligent Computing, 2, 0014. (doi: 10.34133/icomputing.0014)

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Brain–computer interfaces are enabling a range of new possibilities and routes for augmenting human capability. Here, we propose brain–computer interfaces as a route towards forms of computation, i.e., computational imaging, that blend the brain with external silicon processing. We demonstrate ghost imaging of a hidden scene using the human visual system that is combined with an adaptive computational imaging scheme. This is achieved through a projection pattern “carving” technique that relies on real-time feedback from the brain to modify patterns at the light projector, thus enabling more efficient and higher-resolution imaging. This brain–computer connectivity demonstrates a form of augmented human computation that could, in the future, extend the sensing range of human vision and provide new approaches to the study of the neurophysics of human perception. As an example, we illustrate a simple experiment whereby image reconstruction quality is affected by simultaneous conscious processing and readout of the perceived light intensities.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Wang, Gao and Faccio, Professor Daniele
Authors: Wang, G., and Faccio, D.
College/School:College of Science and Engineering > School of Physics and Astronomy
Journal Name:Intelligent Computing
Publisher:American Association for the Advancement of Science
ISSN (Online):2771-5892
Published Online:24 February 2023
Copyright Holders:Copyright © 2023 Gao Wang and Daniele Faccio Exclusive licensee Zhejiang Lab
First Published:First published in Intelligent Computing 2: 0014
Publisher Policy:Reproduced under a Creative Commons License
Data DOI:10.5525/gla.researchdata.1368

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
305153RAEng Chair Emerging TechnologiesDaniele FaccioRoyal Academy of Engineering (RAE)CiET1819/20P&S - Physics & Astronomy
305567QuantIC - The UK Quantum Technoogy Hub in Quantum Enhanced ImagingMiles PadgettEngineering and Physical Sciences Research Council (EPSRC)EP/T00097X/1P&S - Physics & Astronomy