Reversible joint fingerprinting and decryption based on side match vector quantization

Chih Yang Lin, Panyaporn Prangjarote, Chia Hung Yeh*, Hui Fuang Ng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes a joint fingerprinting and decryption (JFD) based on side match vector quantization (SMVQ) for transmitting confidential information and traitor tracing in multimedia distribution. With the help of SMVQ, the proposed scheme can extract the fingerprint without referring to the original image. In addition, after the extraction of the fingerprint, the fingerprinted copy can be completely recovered to the un-fingerprinted version. The experimental results show that the proposed scheme can achieve high perceptual security (with PSNR below 12 on average), high fingerprinted visual quality (with PSNR above 28 on average), and desirable fingerprint payload (about 0.6 bit/per block).

Original languageEnglish
Pages (from-to)52-61
Number of pages10
JournalSignal Processing
Volume98
DOIs
Publication statusPublished - 2014 May
Externally publishedYes

Keywords

  • Joint fingerprinting and decryption
  • Multimedia distribution
  • Side-match vector quantization
  • Traitor tracing
  • Vector quantization

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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