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Detailed-based dictionary learning for low-light image enhancement using camera response model for i...

Detailed-based dictionary learning for low-light image enhancement using camera response model for i...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1c399be01c0f4310b8290b267cbba44a

Detailed-based dictionary learning for low-light image enhancement using camera response model for industrial applications

About this item

Full title

Detailed-based dictionary learning for low-light image enhancement using camera response model for industrial applications

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-07, Vol.14 (1), p.17122-19, Article 17122

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Images captured in low-light environments are severely degraded due to insufficient light, which causes the performance decline of both commercial and consumer devices. One of the major challenges lies in how to balance the image enhancement properties of light intensity, detail presentation, and colour integrity in low-light enhancement tasks. Thi...

Alternative Titles

Full title

Detailed-based dictionary learning for low-light image enhancement using camera response model for industrial applications

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_1c399be01c0f4310b8290b267cbba44a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1c399be01c0f4310b8290b267cbba44a

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-64421-w

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