Joint coding and embedding techniques for multimedia images

Chin Chen Chang*, Wen Chuan Wu, Yi Hui Chen

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

30 Scopus citations


Hiding data in digital images is a technique for secret data communication. It involves embedding important data into a cover image in digital form with minimal perceptible degradation. In this paper, we first propose an improved data hiding method for side-match vector quantization (SMVQ) compressed images, which utilizes the codeword-pairing procedure to modulate the index code of each image block. In order to take it a step further and obtain a larger embedding capacity, we remodel the first proposed method into a new one with the power of variable-rate data embedding through the use of a multiple-base notational system. According to the experimental results, the two proposed methods are indeed capable of providing a larger embedding capacity without causing noticeable distortions of stego-images in comparison with previous methods. Moreover, our methods also maintain a low compression bit-rate without auxiliary data.

Original languageEnglish
Pages (from-to)3543-3556
Number of pages14
JournalInformation Sciences
Issue number18
StatePublished - 15 09 2008
Externally publishedYes


  • Clustering
  • Image compression
  • Quantization index modulation
  • Side-match VQ


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