中文摘要：

一个新奇适应数字图象水位标算法被建议。模糊 c-meansclustering (FCM ) 被用来基于人的视觉系统(HVS ) 的几个典型参数分类原来的图象块进二个类。一个人适合嵌入数字水位标，其它不。在一幅图象的适当的块因此被选择嵌入水位标。水位标与 HVS 和分离余弦变换(DCT ) 一起在主人图象的中间频率的部分被嵌入。最大的水位标力量根据掩盖的频率被修理。在一样的时间，为好表演，水位标被调制进一个分数维的调整数组。模拟结果证明我们能显著地提取躲的水位标，算法能与普通信号失真完成好坚韧性或几何失真和 watermarked 图象的质量被保证。

英文摘要：

A novel adaptive digital image watermark algorithm is proposed. Fuzzy c-means clustering （FCM） is used to classify the original image blocks into two classes based on several characteristic parameters of human visual system （HVS）. One is suited for embedding a digital watermark, the other is not. So the appropriate blocks in an image are selected to embed the watermark. The wetermark is embedded in the middle-frequency part of the host image in conjunction with HVS and discrete cosine transform （DCT）. The maximal watermark strength is fixed according to the frequency masking. In the same time, for the good performance, the watermark is modulated into a fractal modulation array. The simulation results show that we can remarkably extract the hiding watermark and the algorithm can achieve good robustness with common signal distortion or geometric distortion and the quality of the watermarked image is guaranteed.