ISEM:基于生成多对抗网络的图像隐写增强模型.

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Title: ISEM:基于生成多对抗网络的图像隐写增强模型. (Chinese)
Authors: 周, 赛星1,2, 叶, 苗欣1,2, 骆, 伟祺1,2, luoweiqi@mail.sysu.edu.cn
Source: Chinese Journal of Network & Information Security; Oct2025, Vol. 11 Issue 5, p126-136, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190608319
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
  Group: Ti
  Data: ISEM:基于生成多对抗网络的图像隐写增强模型. (Chinese)
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  Data: <searchLink fieldCode="AU" term="%22周%2C+赛星%22">周, 赛星</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22叶%2C+苗欣%22">叶, 苗欣</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22骆%2C+伟祺%22">骆, 伟祺</searchLink><relatesTo>1,2</relatesTo>, <i>luoweiqi@mail.sysu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Chinese+Journal+of+Network+%26+Information+Security%22">Chinese Journal of Network & Information Security</searchLink>; Oct2025, Vol. 11 Issue 5, p126-136, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190608319
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.11959/j.issn.2096-109x.2025053
    Languages:
      – Code: chi
        Text: Chinese
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 126
    Titles:
      – TitleFull: ISEM:基于生成多对抗网络的图像隐写增强模型.
        Type: main
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      – PersonEntity:
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            NameFull: 周, 赛星
      – PersonEntity:
          Name:
            NameFull: 叶, 苗欣
      – PersonEntity:
          Name:
            NameFull: 骆, 伟祺
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          Dates:
            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 2096109X
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            – Type: volume
              Value: 11
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Chinese Journal of Network & Information Security
              Type: main
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