一种基于紧小框架的数字图像水印方法

Runhai Jiao, Biying Lin
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引用次数: 4

摘要

与小波相比,紧框架小波具有较好的时频分析能力。本文提出了一种新的基于紧帧let的数字图像水印算法。在我们的方法中,首先对主机图像进行帧let分解。其次,对水印图像进行阿诺德置乱变换,将水印图像嵌入到主图像的最低频率子带中;实验结果表明,该方法相对于传统的图像处理方法(噪声攻击、滤波和JPEG压缩)具有较好的鲁棒性和不可感知性。此外,该方法的水印隐蔽性优于小波变换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Digital Image Watermarking Method Based on Tight Framelet
Compared with wavelet, tight frame let has goodtime-frequency analysis ability. In this paper, we propose anew digital image watermarking algorithm based on tight frame let. In our method, the host image is firstly decomposed by frame let. Secondly, the watermark image is transformed by Arnold scrambling and then is embedded in the lowest frequency sub band of the host image. Experimental results show that the proposed method gains good performance in robustness and imperceptibility with respect to traditional image processing including noise attack, filtering and JPEG compression. Moreover, the watermark imperceptibility of our method is better than that of wavelet.
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