基于提升小波变换的自适应盲水印算法

Adaptive Blind Watermark Algorithm Based on Lifting Wavelet Transform

提出一种基于提升小波变换的自适应盲水印算法。该算法将水印新猫变换置乱加密,把原图像提升小波分解,并对对应位置的3个高频系数排序,将最大值和最小值分成2Q-1个区间,当嵌入的信息不同时,使特征值处于不同区间。根据特征值所处的位置,实现盲水印提取。实验结果表明,该算法在各种攻击下具有较强的鲁棒性和可识别性。

This paper proposes a kind of adaptive blind watermark algorithm based on lifting wavelet transform. The watermark is encrypted through new arnold transform, and the original image is decomposed through lifting wavelet transform. Three high frequency coefficients of corresponding locations in the same level are sorted, and come into being a section between the maximum and the minimum which is divided into 2Q-I sub-sections. The eigenvalue is in the different sub-zone, when the information embedded is different. The watermark can be extracted according to the locations of eigenvalue. This is a kind of blind watermark extracting method. Experimental result shows that this algorithm has a good robustness and recognizable character under many kinds of assaults.