Hybrid Additive Multi-watermarking Decoder

Abstract

With the development of the cloud environment, the multi-copyright protection of the works should be further developing. The multi-watermarking is becoming a possible solution. In this paper, firstly, one novel hybrid multi-watermarking rule is proposed, and is used to embed the watermark into DWT domain. Secondly, corresponding to the hybrid embedding rule, the novel optimum hybrid additive multi-watermarking decoder is proposed, which is based on the minimum Bayesian risk criterion, and simultaneously the performance of the hybrid decoder is theoretically analyzed. The DWT coefficients are modeled as the generalized Gaussian distribution. Finally, the theoretical and empirical experimental results prove the theoretical analysis validity.