Statistical dependencies beyond linear correlations in light scattered by disordered media

Starshynov, I. , Turpin, A. , Binner, P. and Faccio, D. (2022) Statistical dependencies beyond linear correlations in light scattered by disordered media. Physical Review Research, 4(2), L022033. (doi: 10.1103/PhysRevResearch.4.L022033)

[img] Text
268760.pdf - Published Version
Available under License Creative Commons Attribution.



Imaging through scattering and random media is an outstanding problem that, to date, has been tackled by either measuring the medium transmission matrix or exploiting linear correlations in the transmitted speckle patterns. However, transmission matrix techniques require interferometric stability and linear correlations, such as the memory effect, can be exploited only in thin scattering media. Here we show the existence of a statistical dependency in strongly scattered optical fields in a case where first-order correlations are not expected. We also show that this statistical dependence and the related information transport is directly linked to artificial neural network imaging in strongly scattering, dynamic media. These nontrivial dependencies provide a key to imaging through dynamic and thick scattering media with applications for deep-tissue imaging or imaging through smoke or fog.

Item Type:Articles
Additional Information:This work was supported by the Royal Academy of Engineering, Chair in Emerging Technologies scheme, by the Engineering and Physical Sciences Research Council of the UK (EPSRC) Grant Nos. EP/T00097X/1 and EP/S026444/1 and by the UK MOD University Defence Research Collaboration (UDRC) in Signal Processing.
Glasgow Author(s) Enlighten ID:Faccio, Professor Daniele and Starshynov, Mr Ilya and Binner, Philip and Turpin, Dr Alejandro
Authors: Starshynov, I., Turpin, A., Binner, P., and Faccio, D.
College/School:College of Science and Engineering > School of Physics and Astronomy
Journal Name:Physical Review Research
Publisher:American Physical Society
ISSN (Online):2643-1564
Published Online:11 May 2022
Copyright Holders:Copyright © 2022 American Physical Society
First Published:First published in Physical Review Research 4(2): L022033
Publisher Policy:Reproduced under a Creative Commons License
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record

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
305029Looking and Listening in Complex Media - UDRADaniele FaccioEngineering and Physical Sciences Research Council (EPSRC)EP/S026444/1P&S - Physics & Astronomy