抗偏移行攻击盲鲁棒图像水印算法  

A Blind Robust Image Watermarking Algorithm Against Row Shifting

作　　者：叶天语[1] 

机构地区：[1]浙江工商大学信息与电子工程学院,杭州310018

出　　处：《光电工程》2012年第3期119-124,共6页Opto-Electronic Engineering

基　　金：国家自然科学基金项目(61102146);浙江省教育厅项目(Y201017916)

摘　　要：利用区域点设计抗偏移行攻击修正方法估算偏移行数,把偏移行攻击转化成剪切攻击,从而提出一种抗偏移行攻击盲鲁棒图像水印算法。嵌入端将原始图像分割成互不重叠的子块,通过调整每个子块四列像素数值大小嵌入水印。检测端先对攻击后的含水印图像进行抗偏移行攻击修正,然后通过像素值大小比较和多数判决原则提取水印。算法具有良好的不可见性,而且实现了盲提取。算法采用抗偏移行攻击修正,在抵抗偏移行攻击上表现出较强的鲁棒性。实验结果还表明,算法在抵抗高斯低通滤波、剪切、添加椒盐噪声、添加高斯噪声常规信号处理上也表现出较强的鲁棒性。A blind robust image watermarking algorithm against row shifting was proposed, which used district points to design a revision method for resistance against row shifting to estimate row shifting number and turn row shifting into cropping. Firstly, at the embedding end, an original image was split into non-overlapping blocks. Then, a watermark was inserted by adjusting the numerical value of pixels from four cohmms in each block. Secondly, at the detection end, the revision method for resistance against row shifting was imposed on the watermarked image suffering from attacks. Then, a watermark was blindly extracted through pixel value comparison and majority judgment rule. The proposed algorithm has good invisibility and can achieve blind extraction. Moreover, the proposed algorithm has strong robustness against row shifting, since it adopted the revision method for resistance against row shifting. Experimental results also show that the proposed algorithm has strong robustness against common signal processing like Gaussian low pass filtering, cropping, salt＆pepper noise adding and Gaussian noise adding.

关 键 词：数字水印 盲水印 鲁棒性 偏移行 抗偏移行攻击修正 

分 类 号：TN911.7[电子电信—通信与信息系统]