A Reversible Data Hiding Scheme with Modified Side Match Vector Quantization

  • Authors:
  • Chin-Chen Chang;Wei-Liang Tai;Min-Hui Lin

  • Affiliations:
  • National Chung Cheng University;National Chung Cheng University;Providence University

  • Venue:
  • AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
  • Year:
  • 2005

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Abstract

Indices are modified so that the secret data can be hidden into the index-based cover image, and thereby the problem of the stego-image quality degradation occurs. If the stego-image quality degradation problem can be solved enabling the receiver to reconstruct the original indices after extracting the hidden secret data from the index-based stego-image, then the compressed cover image can be used repeatedly by different users. To achieve our goal, in this paper, a reversible data-hiding scheme based on a modified side match vector quantization (SMVQ) technique is proposed. Our experimental results confirm the effectiveness and the reversibility of the proposed scheme.