一种考虑图像缩小后特征萎缩的防伪水印算法  

A Consider Image Characteristics of the Reduced Contraction of Anti-Counterfeiting Watermark Algorithm

作　　者：王明蓉[1] 

机构地区：[1]乐山师范学院,计算机科学学院,四川乐山614004

出　　处：《微电子学与计算机》2014年第10期151-155,共5页Microelectronics & Computer

基　　金：四川省教厅青年基金项目(12ZB053;13ZB0105)

摘　　要：研究缩小图像的防伪水印问题.针对传统三维网格防伪水印算法只对正常拍摄的图像效果好,对缩小图像加入水印后,防伪水印的不可见性和图像的抗攻击性均变弱的弊端.提出了一种考虑图像缩小后特征萎缩的防伪水印算法.对于缩小图像,由于其图像特征萎缩,需要将三维模型变换为二维数值矩阵,并采用离散余弦变换进行二维分块;然后采用粒子群优化算法找到防伪水印的最优嵌入位置,将防伪水印信息嵌入到最佳位置,最后通过逆变换得到含有防伪水印的三维网络图像.仿真结果表明,该方法嵌入的防伪水印不仅可抵抗多种不同类型攻击,而且具有良好的不可见性,比传统算法防伪准确性提高了64%,抗攻击性提高了25%,为图像的版权保护提供了有力支持,在数字图像作品版权保护中具有极强的实际应用价值.Research the narrow image of watermark security problems.In view of the traditional three-dimensional grid anti-counterfeit watermarking algorithm for normal images taken effect is good,to reduce the image watermarking,anti-counterfeiting watermark invisibility and image of the disadvantages of aggression are weaker.Is suggested to consider an after shrinking anti-counterfeiting watermark algorithm of reduction characteristics.To reduce images,shrinking due to its image characteristics,needs to be 3dmodel transformation for 2-d numerical matrix,and USES the two-dimensional block discrete cosine transform;And then USES the particle swarm optimization algorithm find the optimal anti-counterfeiting watermark embedding positions,to embed the anticounterfeiting watermark best position,finally with anti-counterfeiting watermark is obtained by inverse transformation of three-dimensional network image.Simulation results show that the method of embedded anticounterfeiting watermark not only can resist a variety of different types of attacks,and has good invisibility,anticounterfeiting accuracy increased by 64%than the traditional algorithm,resistance to attack increased by 25%,for image copyright protection provides a strong support,in the work of digital image copyright protection with strong practical application value.

关 键 词：缩小图像模型 防伪水印 离散余弦变换 几何攻击 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]