引入自嵌入技术提出一种DWT-SVD域全盲鲁棒量化水印算法,只需借助攻击图像进行版权认证。对原始图像先进行DWT,将小波低频子带分成互不重叠的子块,对每个子块进行SVD,通过对比相邻两个子块最大奇异值的大小关系产生特征水印序列,然后将选定的自嵌入特征水印序列通过奇偶量化规则自嵌入原始图像小波低频子带每个子块的最大奇异值,最后进行SVD合成和IDWT产生含水印图像。算法具有良好的不可见性和安全性,并且通过结合自嵌入特征水印序列和盲提取认证水印序列达到全盲检测。实验结果表明,算法具有较强的抵抗添加高斯噪声、添加椒盐噪声、高斯低通滤波、中值滤波、剪切、JPEG压缩和混合攻击的鲁棒性。

A perfectly blind robust quantization-based watermarking scheme in DWT-SVD (discrete wavelet transformation-singular value decomposition)domain is proposed by introducing the self-embedding technology.It can accomplish copyright authentication only resorting to the attacked image. The original image is conducted with DWT, and its low frequency wavelet band is split into non-overlapping blocks. Afterwards, each block is conducted with SVD. A feature watermark sequence is derived through judging the numerical relationship between the two biggest singular values of adjacent blocks. Moreover, the chosen feature watermark sequence is self-embedded into each block’s biggest singular value from the original image’s low frequency wavelet band based on the Principle of odd-even quantization. Finally, a watermarked image is obtained after SVD synthesis and IDWT. The proposed algorithm has good invisibility and security, and achieves perfectly blind detection by combining self-embedding feature watermark sequence and blindly extracting authentication watermark sequence. Experimental results show that the proposed algorithm has strong robustness towards adding Gaussian noise, adding salt and pepper noise, Gaussian low-pass filtering, median filtering, cropping, JPEG compression,and hybrid attacks.