An unsupervised underwater image enhancement method based on generative adversarial networks with ed...
An unsupervised underwater image enhancement method based on generative adversarial networks with edge extraction
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Frontiers Media S.A
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Language
English
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Frontiers Media S.A
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Underwater environments pose significant challenges for image capture due to factors like light absorption, scattering, and the presence of particles in the water. These factors degrade the quality of underwater images, impacting tasks like target detection and recognition. The challenge with deep learning-based underwater image enhancement methods...
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Full title
An unsupervised underwater image enhancement method based on generative adversarial networks with edge extraction
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TN_cdi_doaj_primary_oai_doaj_org_article_cb5bdb6ae10e45abb4eeea1ac7d363a1
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cb5bdb6ae10e45abb4eeea1ac7d363a1
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ISSN
2296-7745
E-ISSN
2296-7745
DOI
10.3389/fmars.2024.1471014
