基于测量域复采样压缩感知信息隐藏算法

Compressed sensing information hiding algorithm based on repeated sampling in measurement domain

压缩感知技术在信息隐藏领域广泛应用,传统算法是将整个载体图像进行稀疏变换后测量,没有对载体图像进行适当的选择,文中通过压缩感知技术处理载体图像不同区域的测量值,针对测量值利用聚类算法选出背景图像块,调整采样率重新测量背景图像块,获取新的测量值,然后进行秘密信息写入和载体图像还原,实验结果表明该方法提高了载密图像的透明性和隐藏效率,具备一定的鲁棒性和抗提取性。

The compressed sensing technology has been widely used in the field of information hiding. In the traditional algorithm,the entire carrier image is subjected to sparsely transform and then measured without proper screen. In this paper,the compressed sensing technology is used to process the measured values of different areas in the carrier image. On the basis of the measured values,the clustering algorithm is used to select the background image block. The sampling rate is adjusted to remeasure the background image block,so as to obtain new measured values. And then,secret information write-in and carrier image restoration are performed. The experiment results show this method can improve the transparency and hiding efficiency of the images carrying secret,so it has certain robustness and resistance to extraction.