基于二叉树标记与码分复用的密文域图像可逆信息隐藏

针对当前密文域可逆信息隐藏中嵌入容量不高的问题,结合码分复用的特性,提出了一种基于二叉树标记的密文域可逆信息隐藏优化方案,首先利用梯度下降的预测方法在图像加密前获取冗余空间,然后借助参数二叉树标记的方法对像素进行分类,最后利用码分复用的正交特性将重要的辅助信息嵌入密文图像中。经仿真实验验证:该算法同时具有可逆性与可分离性,嵌入率可高达到3.473 bpp,与现有的基于二叉树标记的密文域可逆信息隐藏的方法相比,有效提高了密文域可逆信息隐藏算法的嵌入容量。。

Reversible Data Hiding in Encrypted Images using Code Division Multiplexing and Parametric Binary Tree Labeling

Combining the characteristics of code division multiplexing, a reversible data hiding in encrypted domain optimization scheme based on binary tree labeling is proposed. This scheme first uses the gradient descent prediction method to Vacating room before encryption, and then pixels are classified by using the parametric binary tree labeling, and finally the important auxiliary information is embedded in the ciphertext image by using the orthogonal characteristics of code division multiplexing. It is verified by simulation experiments that the algorithm has both reversibility and separability, and the embedding rate can be as high as 3.473 bit per pixel. Compared with the existing reversible information hiding method based on binary tree labeling in the encrypted domain, the embedding rate increase by more than 10%.