Steganalysis of histogram modification reversible data hiding scheme by histogram feature coding

Der Chyuan Lou*, Chen Hao Hu, Chung Cheng Chiu

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

4 Scopus citations

Abstract

In 2006, Ni et al. proposed a reversible data-hiding algorithm based on histogram modification that utilizes the zero points and maximum points of the histogram of an image to slightly modify the pixel grayscale values to embed messages into an image. Reversible data-hiding schemes assure that the original cover image can be completely recovered from the stego-image after the hidden messages are extracted. Such data-hiding techniques are suitable for applications in the military, medicine, high-energy particle physical experimental investigation and art in cases in which any distortion to the original images is not acceptable. Steganalysis techniques are used to identify possibly hidden images from cover images or determine whether there are messages embedded in cover images. In this paper, a novel steganalytic scheme that can detect the present of Ni et al. 's steganographic method and that is based on histogram feature coding is proposed. Experimental results show that the steganalytic scheme is capable of detecting Ni et al. 's steganographic method.

Original languageEnglish
Pages (from-to)6571-6583
Number of pages13
JournalInternational Journal of Innovative Computing, Information and Control
Volume7
Issue number11
StatePublished - 11 2011

Keywords

  • Data hiding
  • Digital watermarking
  • Information hiding
  • Reversible data hiding
  • Steganalysis

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