Steganography scheme based on side match vector quantization

Lee S. Chen*, Chih-Ching Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


We propose a steganographic method that is based on side match vector quantization (SMVQ). The secret data are encrypted and then embedded in an SMVQ-decompressed image. In the decoding process, both the hidden secret and the original SMVQ code can be reconstructed without any error. Experimental results demonstrate that the proposed method provides a high hiding capacity and acceptable stego-image quality, to an extent comparable to a well-known SMVQ-based reversible steganographic method.

Original languageEnglish
Article number037008
JournalOptical Engineering
Issue number3
StatePublished - 1 Dec 2010


  • data hiding
  • reversible
  • triangular inequality
  • ξ-square analysis

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