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A novel hybrid customized color correction and Recurrent Convolutional Neural Networks approach for underwater image enhancement.

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Title: A novel hybrid customized color correction and Recurrent Convolutional Neural Networks approach for underwater image enhancement.
Authors: Natarajan D; Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, India., Sudhakaran P; Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, India. pradeeps1@srmist.edu.in., Bereznychenko V; Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, 03680, Kyiv, Ukraine. vika.bereznichenko@i.ua.
Source: Scientific reports [Sci Rep] 2026 Mar 18; Vol. 16 (1). Date of Electronic Publication: 2026 Mar 18.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Natarajan+D%22">Natarajan D</searchLink>; Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, India.<br /><searchLink fieldCode="AU" term="%22Sudhakaran+P%22">Sudhakaran P</searchLink>; Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, India. pradeeps1@srmist.edu.in.<br /><searchLink fieldCode="AU" term="%22Bereznychenko+V%22">Bereznychenko V</searchLink>; Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, 03680, Kyiv, Ukraine. vika.bereznichenko@i.ua.
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  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 Mar 18; Vol. 16 (1). <i>Date of Electronic Publication: </i>2026 Mar 18.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
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        Value: 10.1038/s41598-026-44535-z
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        Text: English
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      – TitleFull: A novel hybrid customized color correction and Recurrent Convolutional Neural Networks approach for underwater image enhancement.
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              Text: 2026 Mar 18
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