MIXING WATERMARK GENERATION USING PRINCIPAL COMPONENT CODER AND SPATIAL RECOMPOSITION
This work is partially supported by the 985 program of Jilin University and NFS of China under Grant No. 60542002.
A new method for mixing watermark generation is proposed in this paper. Based on principal component analysis, a multi-resolution transformation coder in bipolar domain is presented. Spatial recomposition is given for reassembling transformed signal. The generated watermark is provided with pseudorandom distributed structure and flexible embedding pattern. Experimental results show that the proposed method is effective and has good robustness to common image signal processing attacks.