DeepGhost: real-time computational ghost imaging via deep learning
DeepGhost: real-time computational ghost imaging via deep learning
About this item
Full title
Author / Creator
Rizvi, Saad , Cao, Jie , Zhang, Kaiyu and Hao, Qun
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
The potential of random pattern based computational ghost imaging (CGI) for real-time applications has been offset by its long image reconstruction time and inefficient reconstruction of complex diverse scenes. To overcome these problems, we propose a fast image reconstruction framework for CGI, called “DeepGhost”, using deep convolutional autoenco...
Alternative Titles
Full title
DeepGhost: real-time computational ghost imaging via deep learning
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_0263495455744848bd5b08f1bf5b51bb
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0263495455744848bd5b08f1bf5b51bb
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-68401-8
