Transmission of natural scene images through a multimode fibre

Piergiorgio Caramazza, Oisín Moran, Roderick Murray-Smith, Daniele Faccio
<span title="2019-05-02">2019</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a4wan6l5o5dfzn767kyz7jqevi" style="color: black;">Nature Communications</a> </i> &nbsp;
The optical transport of images through a multimode fibre remains an outstanding challenge with applications ranging from optical communications to neuro-imaging. State of the art approaches either involve measurement and control of the full complex field transmitted through the fibre or, more recently, training of artificial neural networks that however, are typically limited to image classes belong to the same class as the training data set. Here we implement a method that statistically
more &raquo; ... tructs the inverse transformation matrix for the fibre. We demonstrate imaging at high frame rates, high resolutions and in full colour of natural scenes, thus demonstrating general-purpose imaging capability. Real-time imaging over long fibre lengths opens alternative routes to exploitation for example for secure communication systems, novel remote imaging devices, quantum state control processing and endoscopy.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41467-019-10057-8">doi:10.1038/s41467-019-10057-8</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31048712">pmid:31048712</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6497636/">pmcid:PMC6497636</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k5246pnajfhtzn4hx27elelqv4">fatcat:k5246pnajfhtzn4hx27elelqv4</a> </span>
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