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A Novel Low-Illumination Image Enhancement Method Based on Convolutional Neural Network with Retinex Theory.

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Title: A Novel Low-Illumination Image Enhancement Method Based on Convolutional Neural Network with Retinex Theory.
Authors: Mao, Haixia1, Peng, Wei2, Tian, Yan2,3, Zhu, Xiaochun1,3, zhuxc@szpu.edu.cn
Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12324, 14p
Database: Applied Science & Technology Source
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  Data: A Novel Low-Illumination Image Enhancement Method Based on Convolutional Neural Network with Retinex Theory.
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  Data: <searchLink fieldCode="AU" term="%22Mao%2C+Haixia%22">Mao, Haixia</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Peng%2C+Wei%22">Peng, Wei</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Tian%2C+Yan%22">Tian, Yan</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhu%2C+Xiaochun%22">Zhu, Xiaochun</searchLink><relatesTo>1,3</relatesTo>, <i>zhuxc@szpu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Nov2025, Vol. 15 Issue 22, p12324, 14p
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/app152212324
    Languages:
      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 12324
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      – TitleFull: A Novel Low-Illumination Image Enhancement Method Based on Convolutional Neural Network with Retinex Theory.
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            NameFull: Mao, Haixia
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            NameFull: Peng, Wei
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            NameFull: Tian, Yan
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            NameFull: Zhu, Xiaochun
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              Text: Nov2025
              Type: published
              Y: 2025
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              Value: 15
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              Value: 22
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            – TitleFull: Applied Sciences (2076-3417)
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