面向网络数据安全的高效图像隐写研究

针对传统图像隐写算法计算消耗时间较长的问题,提出了立方体迷你数独矩阵(CMSM)和两层数据隐写方案.将矩阵及其相应的数据嵌入和提取算法推广到N维迷你数独矩阵(NMSM),并阐述了提高时间效率的机制.通过定义了距离定位函数,可以显著提高多维参考矩阵的嵌入效率.该数据隐写方案具有复杂度高,能有效地提高数据隐写的安全性.实验结果表明,该数据隐写方案不仅能获得更好的图像质量,而且比其他相关方案具有更高的嵌入容量.

Efficient Image Steganography for Network Data Security

In order to solve the problem that the traditional image steganography algorithm takes a long time, this paper proposes a cube Mini Sudoku matrix (CMSM) and two-layer data hiding scheme. The matrix and its corresponding data embedding and extraction algorithm are extended to n-dimensional Mini Sudoku matrix (nmsm), and the mechanism of improving time efficiency is described. By defining the distance location function, the embedding efficiency of multi-dimensional reference matrix can be significantly improved. This data hiding scheme has high complexity and can effectively improve the security of data hiding. Experimental results show that the data hiding scheme can not only obtain better image quality, but also has higher embedding capacity than other related schemes.