Adaptive data embedding scheme based on similar and dissimilar clustering strategies

Chin Chen Chang*, Chia Chen Lin, Yi Hui Chen

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

Abstract

Embedding large amounts of secret data into a cover image with low distortion is an important research issue in steganography. The proposed scheme uses two clustering technologies - similar and dissimilar clustering - to enhance hiding capacity as provided by Du and Hsu's scheme. In general, the hiding capacity of our proposed scheme is higher than that of Du and Hsu's scheme, about 16 Kb for the same image quality. In addition, the image quality of our proposed scheme is more than provided by the schemes of either Du and Hsu's or Shie et al., about 2 dB. Moreover, the distortion for each test image in our proposed scheme is always less than those caused by Du and Hsu's and Shie et al.'s schemes. Experimental results confirm that the proposed scheme is significantly better than earlier works.

Original languageEnglish
Pages (from-to)23-45
Number of pages23
JournalFundamenta Informaticae
Volume88
Issue number1-2
StatePublished - 2008
Externally publishedYes

Keywords

  • Clustering
  • Data embedding
  • Dissimilar clustering
  • Steganography
  • Stego-image

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