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As the good learning ability and generalization capacity, support vector machine (SVM) which based on the statistical learning theory is increasingly noticed by many researchers. Although SVM has many prominent theoretical advantages, its application still drops behind. In this paper, a new application of SVM is studied. Firstly, the strategy of embedding and extracting watermark using support vector...
An image digital watermarking technique using support vector regression (SVR) is proposed and researched in this paper. Firstly, the method of embedding and extracting watermarking from digital image is given. Then, the influence of SVR-learning parameters on the watermarking performance is analyzed, and the ideal value range of SVR-learning parameters for different images is given respectively. Finally,...
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