最大奇异值移位的鲁棒图像信息隐藏

为了提高图像信息隐藏的鲁棒性和不可感知性,提出了一种基于图像块最大奇异值移位的鲁棒信息隐藏算法.算法首先对图像分块并对每个图像块进行奇异值分解,根据图像块最大奇异值的大小选择合适的阈值,并对图像块的最大奇异值进行区间划分,通过将最大奇异值移位到与秘密信息比特相对应的区间实现秘密信息的嵌入.实验结果表明,该算法具有较大的嵌入容量,且在嵌入相同大小的秘密信息时与其他同类算法相比,具有更好的图像视觉质量和鲁棒性.该算法更能适应噪声环境下的信息隐藏.

Robust image data hiding with the largest singular value shifting

In order to improve the robustness and imperceptibility of the image data hiding, this papper proposed a new robust data hiding algorithm based on shifting the largest singular value of the image block. First, it divided the cover image into a number of non-overlapping blocks and used the singular value decomposition(SVD) to decompose each blocks, then selected an appropriate threshold value according to the distribution of the singular values, with the threshold the singular value is divided into two division. By shifting the largest singular value to the same corresponding division with the secret bit, it realized the secret bits embedding. The experimental results show that this algorithm can achieve a high data embedding capacity, and perform good in the robustness and imperceptibility. Compared with other robust data hiding method under the same embedding rate, this algorithm has a better performance in the image quality and robustness. The proposed algorithm in this papper is better adapted to the noise environment.