Yu Chuying, Li Xiaowei, Chen Xinan, Li Jianzhong
School of Physics and Electronic Engineering, Hanshan Normal University, Chaozhou 521041, China.
School of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China.
Entropy (Basel). 2019 May 2;21(5):460. doi: 10.3390/e21050460.
A novel adaptive secure holographic image watermarking method in the sharp frequency localized contourlet transform (SFLCT) domain is presented. Based upon the sine logistic modulation map and the logistic map, we develop an encrypted binary computer-generated hologram technique to fabricate a hologram of a watermark first. Owing to the enormous key space of the encrypted hologram, the security of the image watermarking system is increased. Then the hologram watermark is embedded into the SFLCT coefficients with Schur decomposition. To obtain better imperceptibility and robustness, the entropy and the edge entropy are utilized to select the suitable watermark embedding positions adaptively. Compared with other watermarking schemes, the suggested method provides a better performance with respect to both imperceptibility and robustness. Experiments show that our watermarking scheme for images is not only is secure and invisible, but also has a stronger robustness against different kinds of attack.
提出了一种在锐频局部化轮廓波变换（SFLCT）域中的新型自适应安全全息图像水印方法。基于正弦逻辑调制映射和逻辑映射，我们开发了一种加密的二进制计算机生成全息图技术，首先制作水印的全息图。由于加密全息图的巨大密钥空间，提高了图像水印系统的安全性。然后利用舒尔分解将全息图水印嵌入到SFLCT系数中。为了获得更好的不可感知性和鲁棒性，利用熵和边缘熵自适应地选择合适的水印嵌入位置。与其他水印方案相比，该方法在不可感知性和鲁棒性方面都具有更好的性能。实验表明，我们的图像水印方案不仅安全不可见，而且对不同类型的攻击具有更强的鲁棒性。
