一种基于DCT的模糊聚类自适应水印算法

在DCT域提出了基于模糊和人类视觉系统的新颖的数字水印算法，该算法将图像块按照亮度和纹理进行分类，可以自适应地根据图像特点嵌入水印。水印为二值图像，根据块分类以不同的嵌入强度嵌入到所选择块的中频系数中。该方法允许在一定的视觉距离下嵌入更为鲁棒的水印，达到鲁棒性和不可见性的良好折衷。仿真结果显示了该方法可以抵抗如压缩，加噪等常用攻击。

A DCT-based Adaptive Watermarking Algrithm Utilizing Fuzzy Clustering Theory

This paper proposes a DCT-based image adaptive watermarking scheme utilizing HVS and fuzzy clustering theory, through the classification of brightness, texture of image blocks, can adaptively embed the watermark which is a binary image. According to the block classification, it embedded the watermark into the larger coefficients of the mid-frequency of selected blocks. This scheme allows embedding more robust watermark under a certain visual distance so as to achieve a better solution to solve the confliction between implicitly and robustness. Simulation results indicate that the scheme proposed in this paper can survive JPEG compression, noise as well as cropping.