非线性尺度空间自适应均衡水印算法

Adaptive equalization watermarking algorithm in nonlinear scale space

针对线性尺度空间水印算法嵌入水印位置定位不够精确,嵌入强度参数选取随机,提出一种非线性尺度空间自适应均衡水印算法。利用KAZE算法提取并筛选出非线性尺度空间稳定性强的特征点,构建嵌入水印区域;将水印图像奇异值分解,构造新矩阵作为待嵌入水印载体,通过调整果蝇优化算法的适应度函数计算嵌入强度,结合DWT-SVD算法自适应完成嵌入水印过程。对受到攻击的水印图像提取特征点,合成特征区域矩阵,使用嵌入水印的逆过程,提取水印。实验结果表明,PSNR值均达到44 dB以上,平均NC值高达0.99,有效均衡了水印算法的不可见性和鲁棒性。

Aiming at the inaccuracy of embedding watermarking location and random selection of embedding intensity parameters,this paper proposed a nonlinear scale space adaptive equalization watermarking algorithm.It used KAZE algorithm to extract and filter the feature points with strong stability in nonlinear scale space for constructing the watermark region.Then it used singular value decomposition on watermarking image,it constructed a new matrix as the watermarking carrier to be embedded and calculated the embedding intensity by adjusting the fitness function of the fruit fly optimization algorithm.And with the DWT-SVD algorithm,it adaptively completed the watermark embedding process.Extracting the feature points from the under attack watermark image to synthesize the feature region matrix,it used inverse process to extract watermark image.The experimental results show that the PSNR values are above 44 dB and the average NC value is as high as 0.99,which effectively equalizes the invisibility and robustness of the watermarking algorithm.