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. |
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| 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 |
| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-026-44535-z |
