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Adaptive Digital Watermarking Scheme Based on Support Vector Machines and Optimized Genetic Algorithm
2018
Mathematical Problems in Engineering
Digital watermarking is an effective solution to the problem of copyright protection, thus maintaining the security of digital products in the network. An improved scheme to increase the robustness of embedded information on the basis of discrete cosine transform (DCT) domain is proposed in this study. The embedding process consisted of two main procedures. Firstly, the embedding intensity with support vector machines (SVMs) was adaptively strengthened by training 1600 image blocks which are of
doi:10.1155/2018/2685739
fatcat:26nd4a36vnherhpqvg6imz2gtu