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Appl Opt. 2017 May 20;56(15):4358-4362. doi: 10.1364/AO.56.004358.

Learning-based focusing through scattering media.

Abstract

We present a machine-learning-based method for light focusing through scattering media. In this method, the optical process in a scattering medium is computationally inverted based on a nonlinear regression algorithm with a number of training input-output pairs through the medium, and an input optimized for a target output is calculated. We experimentally demonstrate focusing via a process involving randomness due to a scattering medium and nonlinearity due to double modulation with a spatial light modulator. Our approach realizes model-free control of optical fields, where optical processes or models are unknown.

PMID:
29047862
DOI:
10.1364/AO.56.004358

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