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Class-specific diffractive cameras based on deep learning-designed surfaces

Class-specific diffractive cameras based on deep learning-designed surfaces

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1b48276eda2943a1b880b2ea81949fad

Class-specific diffractive cameras based on deep learning-designed surfaces

About this item

Full title

Class-specific diffractive cameras based on deep learning-designed surfaces

Author / Creator

Publisher

London: Nature Publishing Group UK

Journal title

Light, science & applications, 2022-09, Vol.11 (1), p.283-283, Article 283

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Recently, a new diffractive camera design based on transmissive surfaces structured using deep learning is proposed. It performs class-specific imaging of target objects and all-optical deletion of other classes of objects, which will promote the development of privacy-preserving digital cameras and mission-specific data.

Alternative Titles

Full title

Class-specific diffractive cameras based on deep learning-designed surfaces

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_1b48276eda2943a1b880b2ea81949fad

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1b48276eda2943a1b880b2ea81949fad

Other Identifiers

ISSN

2047-7538,2095-5545

E-ISSN

2047-7538

DOI

10.1038/s41377-022-00974-7

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