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Enhancing underwater image quality with the resnet method yields better color balance and fusion accuracy than with the region-based convolutional neural network algorithm.

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Title: Enhancing underwater image quality with the resnet method yields better color balance and fusion accuracy than with the region-based convolutional neural network algorithm.
Authors: Reddy, Palakolanu Tejeswar1 (AUTHOR) palakolanureddy1202.sse@saveetha.com, Priya, W. Deva1 (AUTHOR) devapriyaw.sse@saveetha.com
Source: AIP Conference Proceedings. 2026, Vol. 3345 Issue 1, p1-7. 7p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 190713408
AccessLevel: 2
PubType: Conference
PubTypeId: conference
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  Data: Enhancing underwater image quality with the resnet method yields better color balance and fusion accuracy than with the region-based convolutional neural network algorithm.
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  Data: <searchLink fieldCode="JN" term="%22AIP+Conference+Proceedings%22">AIP Conference Proceedings</searchLink>. 2026, Vol. 3345 Issue 1, p1-7. 7p.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1063/5.0298432
    Languages:
      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 1
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      – TitleFull: Enhancing underwater image quality with the resnet method yields better color balance and fusion accuracy than with the region-based convolutional neural network algorithm.
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            NameFull: Reddy, Palakolanu Tejeswar
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            NameFull: Priya, W. Deva
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            – D: 07
              M: 01
              Text: 2026
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              Y: 2026
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