Neural network classification for intensity imaging through multimode optical fibres

Piergiorgio Caramazza*, Roderick Murray-Smith, Daniele Faccio

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A neural network algorithm is employed to successfully classify with intensityonly measurements, gray-scale hand-written digits propagated through a multimode fibre, promising an efficient approach for imaging through fibres.

Original languageEnglish
Title of host publicationComputational Optical Sensing and Imaging 2018
PublisherOSA Publishing
ISBN (Electronic)9781943580446
DOIs
Publication statusPublished - 2018

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

Fingerprint

Dive into the research topics of 'Neural network classification for intensity imaging through multimode optical fibres'. Together they form a unique fingerprint.

Cite this