一种非线性尺度空间自适应均衡水印算法

Abstract: 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 singula value decomposition on watermarking image, constructed a new matrix as the watermarking carrier to be embedded and calculating the embedding intensity by adjusting the fitness function of the ftuit fly optimization algorithm, and with the DWT-SVD algorithm, the watermark embedding process is adaptively completed. Extracting the feature points from the under attack watermark image to synthesize the feature region matrix. And it used inverse process to extract watermark image. The experimental results show that the PSNR values are above 44dB and the average NC value is as high as 0.99, which effectively equalizes the invisibility and robustness of the watermarking algorithm.