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抵抗几何变换的基于量化的水印技术

Quantization Based Watermarking Robust to Geometric Transformations

  • 摘要: 利用离散傅里叶变换对旋转、缩放和平移的不变性,通过对幅度谱进行矢量量化,在宿主图像DFT域中心化频谱的每个同心圆中嵌入一位水印信息,提取时采用 "多数原则"来恢复水印的位信息,实现了盲检测. 实验结果表明:该水印不仅具有较好的不可感知性,而且对诸如旋转、缩放、剪切、平移等几何变换的任意组合和常规处理有较强的鲁棒性.

     

    Abstract: Taking advantage of the rotation,scale and translation invariant property of discrete Fourier transform,each watermark bit is embedded into each homocentric circles around the zero frequency term in DFT domain by quantizing the magnitude vectors of Fourier spectrum.The embedded sequence can be extracted by “majority principles” without resorting to the original unmarked image. Experimental results show that the watermark is invisible as well as robust to any combination of geometric transformations such as rotation,scaling,clipping or translation and other common image processing techniques.

     

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