Steganalyzing texture images

Chunhua Chen, Yun Q. Shi, Guorong Xuan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations


A texture image is of noisy nature in its spatial representation. As a result, the data hidden in texture images, in particular in raw texture images, are hard to detect with current steganalytic methods. We propose an effective universal steganalyzer in this paper, which combines features, i.e., statistical moments of 1-D and 2-D characteristic functions extracted from the spatial representation and the block discrete cosine transform (BDCT) representations (with a set of different block sizes) of a given test image. This novel scheme can greatly improve the capability of attacking steganographic methods applied to texture images. In addition, it is shown that this scheme can be used as an effective universal steganalyzer for both texture and non-texture images.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
StatePublished - 2007
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


Other14th IEEE International Conference on Image Processing, ICIP 2007
Country/TerritoryUnited States
CitySan Antonio, TX

All Science Journal Classification (ASJC) codes

  • General Engineering


  • Block discrete cosine transform
  • Rake transform
  • Steganalysis
  • Texture images


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