Tetrolet变换和SVD结合的盲检测稳健数字水印嵌入策略

提出了一种Tetrolet变换和奇异值分解(SVD)相结合的图像盲检测稳健数字水印算法。该算法先对二值水印图像进行双因子混沌加密预处理;对原始载体图像进行二级Tetrolet变换,并将二层低频子带系数进行分块SVD分解;最后将加密的水印信息量化嵌入SVD最大系数中。水印检测时,无需原始载体图像和原始水印图像的参与,实现水印信息盲提取,提高数字水印系统的实用性。仿真实验结果表明,在保证水印安全性和不可感知性的基础上,该算法对常规图像处理、几何攻击等均具有较好的稳健性。

A robust digital watermarking embedding strategy with blind detection based on Tetrolet transform and SVD

We present a robust digital watermarking embedding strategy with blind detection based on Tetrolet transform and singular value decomposition (SVD). Firstly, the binary watermarking image is pretreated by two-factor chaotic encrypting processing. The original host image is transformed by Tetrolet transform, and then, the low-frequency coefficients in two-level are decomposed by the means of the blocked SVD. Lastly, the encrypted watermark information is embedded into those largest coefficients. The proposed strategy can extract the watermarking image without reference to the original host image or the original watermarking image, which achieves blind detection and improves the practicability of the digital watermarking system. Simulation results show that the proposed watermarking algorithm is secure, invisible and robust to common image processing and geometric attacks.