基于Curvelet-DSVD和视觉密码的强鲁棒零水印算法

Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-18 Cooperative journals: 《计算机应用研究》

曲长波 吴德阳

Abstract： In order to better perform the characteristics of natural image curves and further improve the robustness of digital watermarking algorithms, this paper proposed a robust zero-watermarking algorithm based on Curvelet-DSVD and visual cryptography. Firstly, performing Arnold scrambling on the original image, then obtaining the low frequency domain information by Curvelet transform, segmenting the low frequency domain information, and each block was double singular value decomposition(DSVD) , by using the relationship between the maximum singular value of the block and the mean value of the global singular value structuring characteristic matrix. At the same time, this paper used the visual cryptography to generate two shared copies of the watermark information. Finally, one of the shares was execute to Arnold scramble and then xor operation with the feature matrix to generate a zero-watermark. Experimental results show that the proposed algorithm can effectively resist the conventional attacks and is more robust and more secure than the existing zero-watermarking algorithms.

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