基于线性空间隐藏模型的可逆图像水印算法

提出一种基于线性空间隐藏模型的可逆图像水印算法.通 过对原始图像载体互不重叠的划分形成图像块序列,对其进行整数小波变换,获取待嵌水印子带.根据0/1水印序列和线性空间隐藏模型,将水印不可感知地嵌入到图像的小波域中,提高水印鲁棒性和不可见性. 只需判断奇偶性提取水印,并且通过简单逆向平移恢复原始.线性空间隐藏模型的提出实现了水印间相互独立,从而 使该算法能扩展到多著作权的无损水印领域.投票原则的使用又进一步提高水印的 鲁棒性和降低了误检率.在无外界干扰的条件下,拥有密 钥和其他秘密参数的用户能够无损恢复原始图像.仿真实验表明,与相关工作比较该算 法能应对一定程度的有损压缩和高斯噪声攻击,表现出 较高的鲁棒性、安全性和不可见性.

A Reversible Image Watermarking Algorithm Using Linear Space Hiding Model

This paper presents a reversible image watermarking algorithm using linear space hiding model. The proposed algorithm divides an orginal image into a number of non-overlapping blocks, applies an integer wavelet transform to these blocks, respectively, and gains the carrier to embed the watermarking. According to the 0/1 watermarking sequence and the linear space hiding model, the watermark is imperceptibly embedded into the wavelet domain of the image, which improves the robustness and invisibility of the watermarking. According to the parity, we extract the watermarking is extracted and the original carrier is covered by a simple reverse translation. The linear space hiding model allows multiple watermarks to remain independent, so that the algorithm can be extended to the field of multi-copyright lossless watermarking. Furthermore, the majority voting is used to improve the robustness of watermarking and reduce the probability of false positives. The original data can be recovered losslessly from the unmodified watermarked image by users who own the private key and secret parameters. Experimental results show that, compared with the existing algorithms, the embedded digital watermarks with the proposed algorithm are invisible and robust against non-malicious attacks such as JPEG compression, JPEG2000 compression and Gaussian noise to a certain degree.