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基于DD-DT CWT 和SIFT 的体数据数字水印算法
引用本文:崔汉国,刘健鑫,李 彬. 基于DD-DT CWT 和SIFT 的体数据数字水印算法[J]. 图学学报, 2015, 36(2): 148
作者姓名:崔汉国  刘健鑫  李 彬
摘    要:为了确保三维体数据数字模型信息在网络传输过程中的安全性、完整性,对体数据数字水印算法进行研究。提出基于双密度双树复小波变换的体数据数字水印嵌入算法,算法提高了水印的嵌入容量,在兼顾水印不可见性的同时提高了水印抵抗压缩、噪声等攻击的能力;提出基于尺度不变特征变换的体数据数字水印提取算法,实现了水印嵌入和提取时的同步性,提高了水印抵抗旋转、缩放等几何攻击的能力。实验证明:算法不可见性好,实现速度快,在盲检测下能够抵抗压缩、滤波、噪声、平移、旋转、缩放、剪切等攻击,具有较好的鲁棒性。

关 键 词:数字水印  体数据  双密度双树复小波变换  尺度不变特征变换  奇异值分解中  

Digital Watermarking Algorithm for Volume DataBased on DD-DT CWT and SIFT
Cui Hanguo,Liu Jianxin,Li Bin. Digital Watermarking Algorithm for Volume DataBased on DD-DT CWT and SIFT[J]. Journal of Graphics, 2015, 36(2): 148
Authors:Cui Hanguo  Liu Jianxin  Li Bin
Abstract:To ensure the security and integrity of volume data during transmission in the network, awatermarking embedding algorithm for volume data based on double-density dual-tree complexwavelet transform was proposed, the watermarking embedding capacity and robustness to imagemanipulations attacks were improved, and watermarking extraction algorithm for volume data basedon scale invariant feature transform was proposed, the original volume data model and thewatermarked model were registered accurately, and the occurrence of synchronization error wasavoided, the robustness to geometric attacks was improved. Experimental results show that thepresented algorithm is efficient and robust to many attacks such as compression, wave filtering, noise,rotation, translation, uniform scaling and cropping under blind detection.
Keywords:digital watermarking,volume data,double-density dual-tree complex wavelet transform  scale invariant feature transform,singular value decomposition,
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