Image Watermark Embedding and Extraction Method Based on Singular Value Decomposition and Principal Component Analysis
A technique of principal component analysis and singular value decomposition, applied in image data processing, image data processing, instruments, etc., can solve problems such as poor imperceptibility, small number of keys, weak robustness, etc., and achieve enhanced security and confidentiality performance, achieve imperceptibility, and improve robustness
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[0073] Embodiments of the present invention provide further detailed descriptions of the present invention below in conjunction with the accompanying drawings.
[0074] Considering the security of the image watermark, the present invention uses the singular value decomposition and principal component analysis technology of the image matrix to propose an image watermark embedding and extraction method based on the singular value decomposition and principal component analysis. The image is scrambled, and the number of keys is increased to improve the security of the watermark; then the image is subjected to singular value decomposition (SVD), and the singular value obtained has quite good stability. When the image is slightly disturbed, its singular value The value will not change drastically, so that the correct detection of the watermark can be realized, and the image watermark embedding and extraction method with excellent robustness against conventional image attacks is reali...
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