基于混沌映射和矩阵奇异分解的公开数字水印技术

该文提出了一种基于混沌映射和矩阵奇异分解的公开数字水印技术．利用混沌映射将水印进行预处理，并按水印的大小把原始图像分成若干个子块，每个子块对应于水印的一比特，利用矩阵的奇异分解方法分解每个子块，将水印比特嵌入到子块的某一奇异值位置。修改该奇异值，然后利用矩阵的奇异分解反向变换得到嵌入水印的图像．利用混沌映射结合矩阵奇异分解，将水印信息分散在原始图像的不同位置，提高了水印的视觉效果，保证了水印的安全性。实验结果表明，本方法具有较好的不可见性以及对一般图像处理具有一定程度的鲁棒性。

Public Watermarking Based on Chaos Map and Singular Value Decomposition

In this paper a public watermarking technique based on chaos map and singular value decomposition is proposed. Firstly, a watermark is performed by chaos map. Secondly, the original image is divided into subblocks according to the size of the watermark, each subblock corresponds to each bit of watermark. Then with singular value decomposition of matrix technology, the bit of watermark is embedded into the subblock of original image. Chaos map and singular value decomposition of matrix technology are introduced to improve the watermarking imperceptibility, security and robustness of watermark image. Experimental results show the proposed technique has high robustness in image processing operations and good imperceptibility.