Reversible joint fingerprinting and decryption based on side match vector quantization

Authors:
Chih-Yang Lin;Panyaporn Prangjarote;Chia-Hung Yeh;Hui-Fuang Ng
Affiliations:
-;-;-;-
Venue:
Signal Processing
Year:
2014

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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 0.6bit/per block).