TY - JOUR
T1 - Hybrid multiplicative multi-watermarking in DWT domain
AU - Wang, Jinwei
AU - Lian, Shiguo
AU - Shi, Yun Qing
N1 - Funding Information:
This work was jointly supported by the National Natural Science Foundation of China (Grant Nos. 61272421, 61103141, 61232016, 61173141, 61103201,61402235), the Natural Science Foundation of Jiangsu Higher Education Institutions of China (Grant No. 12KJB520006), the Priority Academic Program Development of Jiangsu Higher Education Institutions, Jiangsu Government Scholarship for Overseas Studies and CICAEET.
Publisher Copyright:
© 2015, Springer Science+Business Media New York.
PY - 2017/4/1
Y1 - 2017/4/1
N2 - Multiwatermarking embeds multiple watermarks into the media content imperceptibly. It is regarded as the potential means to protect the media contents’ copyright and/or trace illegal redistributors in multi-user environments, e.g., collaborative media content production or layered media content distribution. However, there are still some open issues in designing a good multiwatermarking scheme, including the combination between multiple embedding steps, the combination between multiple watermarks and the security of embedding schemes. In this paper, novel multiwatermarking schemes are proposed, which are based on hybrid multi-bit multiplicative rules controlled by secret keys. Two hybrid multiplicative multiwatermarking decoders, i.e., optimum and locally optimum, are proposed, which are based on the minimum Bayesian risk criterion and the DWT coefficients are modeled as the generalized Gaussian distribution. The BER (average bit error rate) as the evaluation index of the performance of optimum hybrid decoders is exactly analyzed. Finally, experimental results are shown to confirm the validity of the theoretical and empirical analysis.
AB - Multiwatermarking embeds multiple watermarks into the media content imperceptibly. It is regarded as the potential means to protect the media contents’ copyright and/or trace illegal redistributors in multi-user environments, e.g., collaborative media content production or layered media content distribution. However, there are still some open issues in designing a good multiwatermarking scheme, including the combination between multiple embedding steps, the combination between multiple watermarks and the security of embedding schemes. In this paper, novel multiwatermarking schemes are proposed, which are based on hybrid multi-bit multiplicative rules controlled by secret keys. Two hybrid multiplicative multiwatermarking decoders, i.e., optimum and locally optimum, are proposed, which are based on the minimum Bayesian risk criterion and the DWT coefficients are modeled as the generalized Gaussian distribution. The BER (average bit error rate) as the evaluation index of the performance of optimum hybrid decoders is exactly analyzed. Finally, experimental results are shown to confirm the validity of the theoretical and empirical analysis.
KW - Hybrid decoder
KW - Hybrid multiplicative
KW - Multiwatermarking
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U2 - 10.1007/s11045-015-0363-2
DO - 10.1007/s11045-015-0363-2
M3 - Article
AN - SCOPUS:84944705859
SN - 0923-6082
VL - 28
SP - 617
EP - 636
JO - Multidimensional Systems and Signal Processing
JF - Multidimensional Systems and Signal Processing
IS - 2
ER -