利用QIM的DFT矢量空间数据盲水印模型

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

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。

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.