基于DWT低频系数的自适应盲水印算法  

Adaptive blind detection watermarking algorithm based on wavelet low frequency coefficients

作　　者：应隽[1] 刘勍[2] 

机构地区：[1]合肥工业大学计算机与信息学院,安徽合肥230009 [2]天水师范学院物理与信息科学学院,甘肃天水741001

出　　处：《自动化与仪器仪表》2011年第3期132-134,共3页Automation & Instrumentation

基　　金：合肥工业大学基金项目(2010HGXJ0016);甘肃省自然科学基金计划资助项目(1010RJZE028);天水师范学院中青年教师科研资助项目(TSA1001)

摘　　要：提出了一种基于小波变换低频系数的自适应数字水印算法。通过小波变换将图像分解成不同空间与频率的系数,这些系数之间存在着一种树状结构关系。利用这种树状结构关系将低频系数分成两类,一类对应图像的强纹理区域,一类对应图像的弱纹理区域;针对分类的结果将不同强度的水印分量嵌入到对应的低频小波系数中。该算法具有很好的不可感知性,实验结果表明该算法有较好抗JPEG压缩、低通滤波、剪切等各种攻击的能力。In this article,an adaptive digital watermarking algorithm based on low frequency coefficients of discrete wavelet transform（DWT） is proposed.With the wavelet transform,the image is decomposed into different spatial and frequency coefficients,among which a tree structure exists.Using the tree structure,the lowest approximation coefficients are classified into two groups,one corresponds to the stronger texture area,another corresponds to the weak texture area.The watermark is distributed embedded into the lowest approximation coefficients according to the classified part.Experimental results show that the algorithm is invisible and robust to certain common distortions and the lowest frequency component is not prohibition for watermarking.

关 键 词：小波变换 数字水印 ARNOLD变换 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]