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文章基本信息

  • 标题:Steganography in 3D Geometries and Images by Adjacent Bin Mapping
  • 本地全文:下载
  • 作者:Hao-Tian Wu ; Jean-Luc Dugelay (EURASIP Member)
  • 期刊名称:EURASIP Journal on Information Security
  • 印刷版ISSN:1687-4161
  • 电子版ISSN:1687-417X
  • 出版年度:2009
  • 卷号:2009
  • DOI:10.1155/2009/317165
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    A steganographic method called adjacent bin mapping (ABM) is presented. Firstly, it is applied to 3D geometries by mapping the coordinates within two adjacent bins for data embedding. When applied to digital images, it becomes a kind of LSB hiding, namely the LSB + algorithm. In order to prevent the detection using a metric named histogram tail, the hiding is performed in a pseudorandom order. Then we show that the steganalytic algorithms based on histogram characteristic function (HCF) can be prevented by implementing the LSB + algorithm on subsets of pixels having the same neighbor values. The experimental results show that important high-order statistics of the cover image are preserved in this way while little distortion is introduced to 3D geometric models with an appropriate bin size.

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