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Deep learning-based incoherent holographic camera enabling acquisition of real-world holograms for h...

Deep learning-based incoherent holographic camera enabling acquisition of real-world holograms for h...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3b27a700b9f54192bc04e7c643667fba

Deep learning-based incoherent holographic camera enabling acquisition of real-world holograms for holographic streaming system

About this item

Full title

Deep learning-based incoherent holographic camera enabling acquisition of real-world holograms for holographic streaming system

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2023-06, Vol.14 (1), p.3534-3534, Article 3534

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

While recent research has shown that holographic displays can represent photorealistic 3D holograms in real time, the difficulty in acquiring high-quality real-world holograms has limited the realization of holographic streaming systems. Incoherent holographic cameras, which record holograms under daylight conditions, are suitable candidates for re...

Alternative Titles

Full title

Deep learning-based incoherent holographic camera enabling acquisition of real-world holograms for holographic streaming system

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3b27a700b9f54192bc04e7c643667fba

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3b27a700b9f54192bc04e7c643667fba

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-023-39329-0

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