Bi Ning, Sun Qiyu, Huang Daren, Yang Zhihua, Huang Jiwu
Department of Scientific Computing and Computer Applications, Guangdong Key Laboratory of Information Security Technology, Sun Yat-Sen University, Guangzhou 510275, China.
IEEE Trans Image Process. 2007 Aug;16(8):1956-66. doi: 10.1109/tip.2007.901206.
In this paper, we propose a blind image watermarking algorithm based on the multiband wavelet transformation and the empirical mode decomposition. Unlike the watermark algorithms based on the traditional two-band wavelet transform, where the watermark bits are embedded directly on the wavelet coefficients, in the proposed scheme, we embed the watermark bits in the mean trend of some middle-frequency subimages in the wavelet domain. We further select appropriate dilation factor and filters in the multiband wavelet transform to achieve better performance in terms of perceptually invisibility and the robustness of the watermark. The experimental results show that the proposed blind watermarking scheme is robust against JPEG compression, Gaussian noise, salt and pepper noise, median filtering, and ConvFilter attacks. The comparison analysis demonstrate that our scheme has better performance than the watermarking schemes reported recently.
在本文中，我们提出了一种基于多波段小波变换和经验模式分解的盲图像水印算法。与基于传统双波段小波变换的水印算法不同，传统算法是将水印位直接嵌入小波系数，而在我们提出的方案中，我们将水印位嵌入到小波域中一些中频子图像的均值趋势中。我们在多波段小波变换中进一步选择合适的伸缩因子和滤波器，以在感知不可见性和水印鲁棒性方面实现更好的性能。实验结果表明，所提出的盲水印方案对JPEG压缩、高斯噪声、椒盐噪声、中值滤波和卷积滤波器攻击具有鲁棒性。对比分析表明，我们的方案比最近报道的水印方案具有更好的性能。
