摘要
为解决传统水印算法鲁棒性和不可感知性之间的矛盾,提出一种二维矢量地图双重零水印算法.该算法以矢量地图线图元特征点提取为基础,针对反映线图元基本形状的特征点,采用BP神经网络来构建特征点之间的关系模型,并由此构造能够抵抗简化、压缩攻击的零水印参数.针对反映线图元细节的非特征点,利用矩阵奇异值分解(SVD)方法来构造对常见几何攻击稳健的零水印参数.该方案很好地刻画了矢量地图线图元的整体特性,双重水印参数的构造有助于提高水印算法的抗攻击能力,达到对矢量地图全面保护的目的.实验结果表明,该双重零水印方案具有较好的鲁棒性和不可见性,适用于二维矢量地图的版权保护.
To address the contradiction between robustness and imperceptibility in a traditional watermarking algorithm,a double zero-watermarking algorithm for 2D vector maps was proposed.Based on feature point extraction,for the feature point reflecting the outline of the polyline,the algorithm utilized the feature point relation model established by a BP artificial neural network to construct a zero-watermarking parameter that was robust against simplification and compression attacks.For the non-feature point reflecting the detail of the polyline,the algorithm utilized the matrix singular value decomposition（SVD） to construct a parameter of zero-watermarking that was robust against geometry attacks.This algorithm perfectly depicts the whole character of each polyline,and the construction of double zero-watermarking parameters can improve robustness and achieve a comprehensive protection target for vector maps.Experimental results show that the proposed zero-watermarking has preferable robustness and invisibility,which is suitable for copyright protection of 2D vector maps.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2011年第3期340-344,共5页
Journal of Harbin Engineering University
基金
国家自然科学基金资助项目(60873138)
