基于DCT与SVD相结合的图像水印新算法

Abstract

Abstract:

Among all watermarking algorithms based on singular value decomposition (SVD),using the orthogonal matrices assures non-replacement of watermark,but it will affect the accuracy of the watermark if the orthogonality is not maintained.In order to solve this problem,a novel binary watermark algorithm based on discrete cosine transform (DCT) and SVD is proposed.The left orthogonal matrices of host image's sub-blocks' DCT coefficients are modified according to the orthogonality of trigonometric function to embed watermark bits in the proposed algorithm.Experimental results show that compared with current algorithms using SVD,the orthogonality of the left orthogonal matrices is maintained.The results also show higher extracting accuracy in resisting JPEG compression and salt and pepper noise.

Key words: discrete cosine transform;singular value decomposition;orthogonal matrix;watermark

CLC Number:

TP391

LV Dong-Yue, XU Gui-Li, LI Kai-Yu, TIAN Yu-Peng. A New Image Watermarking Algorithm Based on DCT and SVD[J]., 2011, 24(5): 112-.

References

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A New Image Watermarking Algorithm Based on DCT and SVD

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