Adaptive Data Embedding Scheme Based on Similar and Dissimilar Clustering Strategies

  • Authors:
  • Chin-Chen Chang;Chia-Chen Lin;Yi-Hui Chen

  • Affiliations:
  • (Correspd.) Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan, R.O.C. ccc@cs.ccu.edu.tw;Department of Computer Science and Information Management, Providence University, Taichung 43301, Taiwan, R.O.C. mhlin3@pu.edu.tw;Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi 621, Taiwan, R.O.C. chenyh@cs.ccu.edu.tw

  • Venue:
  • Fundamenta Informaticae
  • Year:
  • 2008

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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.