Reversible data hiding based on histogram modification of SMVQ indices

Jiann Der Lee*, Yaw Hwang Chiou, Jing Ming Guo

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

49 Scopus citations

Abstract

This work presents a novel reversible data-hiding scheme that embeds secret data into a transformed image and achieves lossless reconstruction of vector quantization (VQ) indices. The VQ compressed image is modified by the side-matched VQ scheme to yield a transformed image. Distribution of the transformed image is employed to achieve high embedding capacity and a low bit rate. Moreover, three configurations, under-hiding, normal-hiding, and over-hiding schemes, are utilized to improve the proposed scheme further for various applications. Experimental results demonstrate that the proposed scheme significantly enhances the compression ratio and embedding capacity. Experimental results also show that the proposed scheme achieves the best performance among approaches in literature in terms of the compression ratio and embedding capacity.

Original languageEnglish
Article number5549932
Pages (from-to)638-648
Number of pages11
JournalIEEE Transactions on Information Forensics and Security
Volume5
Issue number4
DOIs
StatePublished - 12 2010

Keywords

  • Image compression
  • lossless data hiding
  • lossless recovery
  • vector quantization (VQ)

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