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Reversible joint fingerprinting and decryption based on side match vector quantization

delete2014-05-01
delete13
PRE
AI
C
Chih‐Yang Lin
P
Panyaporn Prangjarote
C
Chia‐Hung Yeh *
H
Hui‐Fuang Ng
DOI:10.1016/j.sigpro.2013.11.011delete
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Abstract

Abstract

En 中文
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).(C) 2013 Elsevier B.V. All rights reserved.
Keywords:
Multimedia distribution
Vector quantization
Side-match vector quantization
Joint fingerprinting and decryption
Traitor tracing

Journal

Signal Processing cover
Signal Processing
IF:
3.6
Papers:
10.0K
Citations:
1.7W

Organization

U
universiti tunku abdul rahman (utar)
Scholars:
2.2K
Papers: 1.8K
Citations: 2
A
asia university taiwan
Scholars:
2.0K
Papers: 2.8K
Citations: 5
N
national sun yat sen university
Scholars:
7.6K
Papers: 7.7K
Citations: 3
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