提出了一种基于小波变换的图像自适应数字水印算法。首先对水印图像作置乱处理;然后对原始图像进行小波分解,并根据人类视觉系统的特性,在小波分解的低频域中,采用邻域均值代替单个小波系数进行估计和量化的方法,将水印自适应地嵌入低频域小波系数中;最后对该算法进行了仿真实验。实验表明该算法对图像的各种常规处理都具有较好的鲁棒性,与邵亚非等人的水印算法相比,该算法在水印容量、不可见性、鲁棒性上有更大的协调性。
This paper proposed an image-adaptive watermarking algorithm based on wavelet transform. At first, scrambled a digital image used as watermark. Next, decomposed the original image by discrete wavelet transform, and in accordance with the characteristics of human visual system, wavelet decomposition in the low-frequency domain, used methods which average of adjacent domain instead of single wavelet decomposition coefficients to estimate and quantitative, adaptively embedded watermarking in wavelet coefficients of low-frequency domain. At last, the simulation experimental results show that the algorithm for a variety of conventional image processing has good robustness, compare with algorithm of Shao Ya-fei, et al,it has better coordination in watermarking capacity, invisibility, robustness.