欢迎访问《图学学报》 分享到:

图学学报

• 图形学与可视化 • 上一篇    下一篇

基于DD-DT CWT 和SIFT 的体数据数字水印算法

  

  • 出版日期:2015-04-30 发布日期:2015-06-03

Digital Watermarking Algorithm for Volume Data Based on DD-DT CWT and SIFT

  • Online:2015-04-30 Published:2015-06-03

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

Abstract: To ensure the security and integrity of volume data during transmission in the network, a
watermarking embedding algorithm for volume data based on double-density dual-tree complex
wavelet transform was proposed, the watermarking embedding capacity and robustness to image
manipulations attacks were improved, and watermarking extraction algorithm for volume data based
on scale invariant feature transform was proposed, the original volume data model and the
watermarked model were registered accurately, and the occurrence of synchronization error was
avoided, the robustness to geometric attacks was improved. Experimental results show that the
presented algorithm is efficient and robust to many attacks such as compression, wave filtering, noise,
rotation, translation, uniform scaling and cropping under blind detection.

Key words: digital watermarking, volume data, double-density dual-tree complex wavelet transform;
scale invariant feature transform,
singular value decomposition