Statistical dependencies beyond linear correlations in light scattered by disordered media

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 transmitted speckle patterns. However, techniques require interferometric stability correlations, such as memory effect, can be exploited only thin media. Here we show existence of a statistical dependency strongly scattered optical fields case where first-order are not expected. We also that this dependence related information transport directly linked artificial neural network imaging scattering, dynamic These nontrivial dependencies provide key thick with applications for deep-tissue smoke fog.Received 12 November 2020Revised 19 September 2021Accepted 30 March 2022DOI:https://doi.org/10.1103/PhysRevResearch.4.L022033Published American Physical Society under terms Creative Commons Attribution 4.0 International license. Further distribution work must maintain attribution author(s) published article's title, journal citation, DOI.Published SocietyPhysics Subject Headings (PhySH)Research AreasImaging & processingPhysical SystemsRandom disordered mediaTechniquesLight scatteringAtomic, Molecular Optical