基于压缩传感的灰度图像水印算法

A grayscale image watermarking algorithm based on compressed sensing

将水印图像采用压缩传感OMP算法进行一维小波逐行观测,生成观测矩阵,以观测矩阵做为嵌入水印,将原始载体灰度图像进行DCT变换后,选取低频信息段作为水印嵌入位置,然后将水印信息进行变换图像置乱处理,并采用基于奇异值的分解算法嵌入到原始载体灰度图像中.实验结果表明,此算法能够抵抗一定的几何攻击,对JPEG压缩、噪声攻击的抵抗能力有待进一步提高.

This paper progressively observes watermark image compressed sensing algorithm of OMP to generate observation matrix which is used as the embedding watermark image.Then,the paper scrambles the embedding watermark image by arnold transform algorithm and embeds it into the original grayscale image by the singular value decomposition algorithm in the low-frequency of DCT domain.In order to test the robustness of this algorithm,the experiment is carried out.The results show that this algorithm can resist certain geometric attack and can improve anti-attack capability when suffering JPEG compression attack and noise attack.