非线性尺度空间自适应均衡水印算法.

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 [ABSTRACT FROM AUTHOR]