基于傅立叶域的有意义图像数字水印算法

摘要

为了使数字水印具有较好的识别率和鲁棒性,本文提出了基于傅立叶域的有意义图像数字水印算法.该算法利用了Arnold变换方法、相关性检测方法和傅立叶域特性,并通过采取嵌入两个不相关伪随机序列的方法,有效地提高了识别率,水印嵌入在最重要的分量,以获得较好的鲁棒性.仿真实验表明,该算法具有可行性.%In order to improve the discrimination and robustness of digital watermarks,the paper proposes a digital watermarking algorithm based on the Fourier domain for meaningful images. The algorithm uses the Arnold transform method, correlation detection method and the Fourier-domain characteristics, and embeds two unrelated pseudo-random sequences to effectively raise the discrimination. The watermark is embedded in the most important component to obtain better robustness. The simulation shows the feasibility of the algorithm.