卫星遥感图像的鲁棒无损数据隐藏传输算法

提出一种基于整数离散余弦变换（IntDCT）域的鲁棒无损数据隐藏算法。先对载体图像进行预处理来构建适合信息嵌入的载体，并将无损隐藏的思想引入到预处理中用以存储可恢复原载体图像的信息。为兼顾鲁棒性和图像质量，算法通过修改载体图像IntDCT域高频系数的直方图修改来完成秘密信息的嵌入；最后，与以往算法不同，为保证遥感图像的质量，给出了接收端在含密图像未失真和失真情况下载体恢复的方法。实验结果表明，本文所提出的算法能有效抵抗压缩攻击，并具有良好的图像质量和较大的容量。与以往算法相比，本文算法在性能方面具有明显的优势。

A Robust Lossless Data Hidden Transmission Method forSatellite Remote Sensing Image

Based on the background of covert transmission for satellite remote sensing image, a robust lossless data hidden algorithm based on integer discrete cosine transformation (IntDCT) domain is proposed. First, the covert image is pre-processed to construct a carrier suitable for embedding information; then, a lossless data hidden idea is introduced to restore the information to be used for reversibly recovering the covert image. In order to give consideration to both robustness and image quality, the algorithm completes the secret information embedding by modifying the high frequency coefficient histogram of covert image in IntDCT domain. Finally, in contrast with the traditional algorithms, in order to ensure the quality of remote sensing images, the proposed algorithm gives the way of image restoration at a receiving end when stego-image has some distortion. Experimental results show that the proposed algorithm can effectively resist the compression attack, has a good image quality and a larger capacity. Compared with the previous algorithm, this algorithm has obvious advantages in terms of performance.