Infrared Image Super-Resolution Network Utilizing the Enhanced Transformer and U-Net
Infrared Image Super-Resolution Network Utilizing the Enhanced Transformer and U-Net
About this item
Full title
Author / Creator
Huang, Feng , Li, Yunxiang , Ye, Xiaojing and Wu, Jing
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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More information
Scope and Contents
Contents
Infrared images hold significant value in applications such as remote sensing and fire safety. However, infrared detectors often face the problem of high hardware costs, which limits their widespread use. Advancements in deep learning have spurred innovative approaches to image super-resolution (SR), but comparatively few efforts have been dedicate...
Alternative Titles
Full title
Infrared Image Super-Resolution Network Utilizing the Enhanced Transformer and U-Net
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_98171d2026864657bacbf86836be1104
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_98171d2026864657bacbf86836be1104
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24144686
