硬C-means聚类和DT-CWT变换的数字图像水印算法  

Digital image watermarking algorithm based on HCM and DT-CWT

作　　者：林克正[1] 姚欢[1] 

机构地区：[1]哈尔滨理工大学计算机科学与技术学院,哈尔滨150080

出　　处：《计算机工程与应用》2013年第18期167-170,共4页Computer Engineering and Applications

基　　金：黑龙江省教育厅科学技术研究项目(No.11551087)

摘　　要：为了提高数字水印图像的鲁棒性,提出一种基于硬C均值聚类和双树复小波变换域的图像水印算法。该算法对载体图像进行一层双树复小波变换分解,利用人类视觉特性对其2个低频子带进行硬C均值聚类划分,确定可嵌入信息区域。将二值水印图像信号经过Hilbert曲线置乱和降维,形成一维信号序列。利用图像自身局部相关性,调节水印嵌入强度并修改小波系数值,实现将水印嵌入到可嵌入信息区域。实验表明,该算法具有良好的透明性且对压缩、剪切、噪声和滤波等几何攻击具有高鲁棒性。In order to improve the robustness of digital watermarking images,this paper proposes an algorithm of image digital watermarking based on Dual Tree Complex Wavelet Transform（DT-CWT）domain and Hard C-Means cluster（HCM）.The original image is decomposed by one level DT-CWT.The watermark embedding location is identified adaptively by applying HCM in the two low frequency sub-band which is produced by DT-CWT.The binary watermark is disposed after Hilbert curve scrambling transformation and dimension reduction.A one-dimensional signal sequence is formed.Using image itself local relevance,this paper adjusts the embedding strength and modifies wavelet coefficient value,to realize the one-dimensional signal sequence embed in the watermark embedding location.The finding is that this method is invisible and robust against various geometric attacks such as compression,cropping,noise adding,filters,and so on.

关 键 词：数字水印 双树复小波变换 C均值聚类 Hilbert曲线置乱 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]