基于模糊聚类和Zernike矩的自适应水印算法

基于模糊聚类和Zernike矩技术,提出一种抗几何攻击鲁棒的自适应图像水印算法.首先根据人眼视觉系统的掩蔽特性,并利用模糊C-均值聚类算法自适应地选择适合嵌入数字水印的位置,然后通过奇异值分解将水印信息嵌入到宿主图像.实验结果表明,该算法不仅具有较好的透明性,而且能有效地抵抗旋转、缩放、翻转和旋转-缩放组合等几何攻击,同时对JPEG压缩、滤波和图像增强等常见攻击也有较好的鲁棒性.

Adaptive Watermarking Algorithm Based on Fuzzy Clustering and Zernike Moments

An adaptive geometric robust watermarking scheme is presented based on fuzzy clustering and Zernike moments technique. By turtilizing fuzzy C-mean clustering algorithm and human visual system, the suitabh; locations for embedding watermark are selected adaptively. The watermark is embedded into the host image by singular value decomposition transform. In the watermark detection process, the geometric distortion parameters of the attacked image are estimated first by the geometric correction method which is based on the Zemike moments. The watermark is extracted from the recovered image. The experimental results demonstrate that the proposed scheme is invisible and robust against rotation, scaling, flipping and combined attacks, as well as a variety of common manipulations such as JPEG compression, filtering, cropping and image enhancement.