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文章基本信息

  • 标题:Iterative Learning Identification for Single Image Information Hiding
  • 本地全文:下载
  • 作者:Ying Kong ; Hui-Juan Lu
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2015
  • 卷号:9
  • 期号:3
  • 页码:371-382
  • DOI:10.14257/ijsia.2015.9.3.29
  • 出版社:SERSC
  • 摘要:This paper presents a digital image information hiding scheme based on chaotic mapping and multi-blending, and the recovery of the hidden information is carried out from iterative learning identification perspective. With the proposed scheme the digital image information is added to a parameter of the chaotic system undertaken. An iterative learning identification algorithm is proposed for the recovering purpose. Experimental results demonstrate that the digital image watermarking can be recovered completely, and the learning algorithm is able to resist various types of attacks.
  • 关键词:iterative learning identification; information hiding; chaotic mapping; ; multi-blending
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