基于小波包变换和块模糊分类的自适应水印算法

提出了在WPT域上基于块模糊分类的新的自适应水印算法。首先用m-序列来控制对原始图像进行小波包变换的分解结构,将适当的小波系数组成小波子块。然后根据人类视觉系统(HVS)模型和能量模型,对小波子块进行模糊分类。最后,根据分类结果,将不同强度的二值水印嵌入到不同的小波子块中。实验结果表明,提出的算法能抵抗各种图像处理的攻击,具有较好的鲁棒性。

An Adaptive Watermarking Algorithm Based on Wavelet Packet Transform and Block Fuzzy Classification

In this paper,a novel adaptive watermarking algorithm is proposed,which is based on fuzzy classification in WPT domain.In the first stage of the proposed method,the original image is converted to frequency domain with wavelet packet transform by using the m-sequence.Then we organize some wavelet coefficients to form wavelet blocks.After that,these blocks are classified by the model based on human visual system(HVS)and the model based on energies.Finally binary watermark components with different strength are embedded to different wavelet blocks according to the results of classification.Experimental results show that the proposed approach is with good performance and robust to image processing and attack.