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- W2378840356 abstract "A new robust blind watermarking scheme based on SVM is proposed.Firstly,the multi-scale Harris-Laplace detector is utilized to extract feature points,and then the local characteristic regions are adaptively constructed according to the characteristic scale theory,selected some points from the regions as embedded points.The watermarking embedding and extraction are achieved by using a preparational technique based on support vector regression model to adjust the values of the selected pixels.The model is trained by learning the relationship between the selected pixel and statistical feathers of neighboring area.Experimental results show that the presented scheme has good image perceptual quality and high watermark robustness to common image processing operation and desynchronisation attacks,specially,to JPEG compression." @default.
- W2378840356 created "2016-06-24" @default.
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- W2378840356 date "2009-01-01" @default.
- W2378840356 modified "2023-09-26" @default.
- W2378840356 title "Robust blind watermarking scheme on support vector machine" @default.
- W2378840356 hasPublicationYear "2009" @default.
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