基于混沌和分维的盲水印算法  

Digital Watermark Algorithm with Blind Detection Based On Chaotic Scrambling and Fractal Dimensions

作　　者：张健[1] 刘琳[1] 付勇智[1] 

机构地区：[1]西南林业大学理学院,云南昆明650224

出　　处：《软件导刊》2014年第2期63-66,共4页Software Guide

基　　金：西南林业大学面上科研基金(111133)

摘　　要：把分形维数理论应用到数字水印中,提出了基于Chebysher混沌置乱和分形维数的自适应数字图像水印算法。首先将载体图像分块,计算每个小块的分形维数。然后将载体图像进行分块DCT变换,使用改进的邻域平均法,将经过混沌置乱后的水印信息嵌入到图像的DCT域中,并根据该小块的分形维数调节嵌入强度,实现了水印信息的自适应嵌入。提取水印时,实现了完全盲提取。MATLAB仿真结果表明,该算法具有较好的不可见性,对常见的图像处理攻击具有较好的鲁棒性。In this paper, Fractal Dimensions theory is applied to digital watermark technology, a adaptive algorithm based on Chebysher chaotic scrambling and fractal dimensions is proposed. Firstly, the original image was split into non-overlap- ping blocks, the fraetal dimensions of each blocks was computed. Secondly, the watermark embedding factor is adjusted by fractal dimensions, and the binary watermark image with chaos scrambling is adaptively embedded into the original image＇s block of DCT domain, using improved neighborhood averaging method. The proposed algorithm achieved perfectly blind detection. Experimental result using MATLAB shows that the algorithm is invisible and has good robustness for some common image processing operations.

关 键 词：数字水印 混沌置乱 分形维数 离散余弦变换 盲提取 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]