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Deep-learning-based ghost imaging

Deep-learning-based ghost imaging

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5736587

Deep-learning-based ghost imaging

About this item

Full title

Deep-learning-based ghost imaging

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2017-12, Vol.7 (1), p.17865-6, Article 17865

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

In this manuscript, we propose a novel framework of computational ghost imaging, i.e., ghost imaging using deep learning (GIDL). With a set of images reconstructed using traditional GI and the corresponding ground-truth counterparts, a deep neural network was trained so that it can learn the sensing model and increase the quality image reconstructi...

Alternative Titles

Full title

Deep-learning-based ghost imaging

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5736587

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5736587

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-017-18171-7

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