利用QIM的DFT矢量空间数据盲水印模型

¹华北水利水电学院资源与环境学院,郑州市北环路36号,450011;²南京师范大学虚拟地理环境教育部重点实验室,南京市文苑路1号,210046;³信息工程大学测绘学院,郑州市陇海中路66号,450052

基金项目: 国家863计划资助项目(2006AA12Z223)

详细信息

Blind Watermarking Model of Vector Spatial Data Based on DFT of QIM

¹Institute of Resources and Environment, North China University of Water Resources and Electric Power, 36 Beihuan Road, Zhengzhou 450011,China;(2 Key Laboratory of VGE, Ministry of Education, Nanjing Normal University, 1 Wenyuan Road, Nanjing 210046, China;(3 Institute of Surveying and Mapping, Information Engineering University, 66 Middle Longhai Road, Zhengzhou 450052, China

Funds: 国家863计划资助项目(2006AA12Z223)

摘要: 针对矢量空间数据数字水印的特点,提出了利用量化索引方法调制(quantized index modulation,QIM)思想的离散傅立叶变换(discrete Fourier transform,DFT)盲水印模型。首先,对矢量空间数据进行DFT,将水印信息通过量化嵌入到变换后的幅度值中;再进行DFT的逆变换,得到嵌入水印后的矢量空间数据。利用文本格式的地理空间数据进行实验,结果表明,该水印模型具有较好的可用性、不可见性以及对格式转换、数据平移、旋转等较好的稳健性。
- 矢量空间数据 /
- 盲水印 /
- QIM /
- DFT /
- 稳健性
Abstract: For the characteristics of digital watermarking of vector spatial data, the DFT(discrete Fourier transform) blind watermarking model is put forward based on QIM(quantized index modulation) idea. Firstly, DFT is done to vector spatial data. The watermark data are embedded in the magnitude of DFT through quantification. Then, through inverse DFT transform, the embedded vector spatial data is obtained. Finally, the confirmation is done with text format's vector spatial data. The results show that the watermark has good availability, not visibility, as well as has good robustness to format conversion, data translation, rotation.
- vector spatial data /
- blind digital watermarking /
- QIM /
- DFT /
- robustness