改进加权矩阵的双图像可逆数据隐藏算法

针对插值灰度图像嵌入容量有限和视觉质量较差的问题，提出了改进加权矩阵的双图像可逆数据隐藏算法，通过仅增加或减少载体图像的插值像素来嵌入多个机密数据位，进一步提高图像嵌入容量和视觉质量。该算法通过插值放大原始图像的大小生成载体图像，使用具有相同大小的共享预定义加权矩阵对原始像素块进行逐项相乘模和，将机密信息根据块的数量交替地嵌入2幅图像中，在每次迭代前，使用共享密钥修改加权矩阵以保护隐藏信息，加权矩阵有助于在较小失真的情况下嵌入更多的数据位，有效实现了安全性和嵌入容量。实验结果表明，该算法可以抵抗剪切、噪声、不透明修改等隐写攻击。相对于其他方法，该算法在嵌入容量和PSNR方面都有明显的提高。

Double image reversible data hiding based on improved weighting matrix

To solve the problem of limited embedding energy and poor visual quality of interpolated gray-scale image, this paper proposes a dual image reversible data hiding algorithm based on improved weighting matrix. Multiple confidential data bits are embedded by only increasing or reducing the interpolation pixels of the carrier image, so as to improve the image embedding capacity and visual quality. The algorithm first generates a carrier image by interpolating and amplifying the size of the original image, and then uses a shared predefined weighting matrix with the same size to multiply and modulate the original pixel blocks item by item, and embed confidential information in the two images alternately according to the number of blocks. Before each iteration, a shared key is used to modify the weighting matrix to protect the hidden information. The weighting matrix helps to embed more data bits with less distortion, effectively achieving security and embedding capacity. Experimental results show that the proposed algorithm can resist steganography attacks such as clipping, noise, and opaque modification. Compared with other methods, the method in this paper has obvious improvement in embedding capacity and PSNR.