摘要
设计了一种基于自相关函数(ACF)的盲检测小波域数字图像水印算法,提取原图像小波分解的高频细节分量信息,并增强其相关性后,对水印信息进行调制掩盖。经过处理的掩藏了水印的高频细节分量与原图像的逼近分量再合成,得到含水印的图像。水印检测时,将含水印图像小波分解,分析其细节分量的ACF峰值,对图像的几何攻击进行估计及校正,以取得水印同步,再通过水印相关性进行检测评价,实验表明,该方法可行,具有较强的抗剪切、几何攻击性。
Based on Auto-Correlation Function（ACF）,a digital image watermark algorithm in the wavelet domain detecting blindly is proposed.High frequency detail information from original image wavelet decomposing is enhanced correlation,then acts as the mask of watermark information.The marked image is obtained by composing the processed content with approximation of the original one.To detect watermark,watermark geometric distortion can be estimated and rectified according to ACF peaks,which is from analyzing detail portion in the marked image wavelet decomposing.After watermark synchrony,correlation is used as judge criterion.Simulation result shows that the method is practicable with higher such robustness as shearing and geometric attacks.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第34期105-107,118,共4页
Computer Engineering and Applications
基金
高校基金项目(No.06XZX10)。
关键词
数字图像水印
自相关函数
高频信息
小波变换
digital image watermark
Auto-Correlation Function（ACF）
high frequency information
wavelet transform
