计算机科学 ›› 2010, Vol. 37 ›› Issue (2): 126-130.

• 计算机网络与信息安全 • 上一篇    下一篇

一种改进的抗几何攻击的数字图像水印算法

李健,叶有培,韩牟   

  1. (南京理工大学计算机学院 南京210094)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金项目(60472061)资助。

Improved Watermarking Algorithm for Digital Images Robust to Geometric Distortion

LI Jian,YE You-pei,HAN Mou   

  • Online:2018-12-01 Published:2018-12-01

摘要: 利用奇异值分解的特性,提出了一种改进的基于奇异值分解的数字水印算法。该算法通过设定采样的起始和终止参数,对图像的频域幅度值进行有选择的部分采样。然后利用采样后的数据构造嵌入水印的数据矩阵,并对数据矩阵进行分块奇异值分解,获取一个由次大奇异值组成的数字序列。最后通过可调强度的加性方法,在次大奇异值上嵌入水印信息。依靠数据矩阵的采样构造方式和次大奇异值的几何攻击不变性实现了数字水印的抗几何攻击性。实验结果表明,该方法较传统方法而言有更高的灵活性和鲁棒性。

关键词: 奇异值分解,数字水印,几何攻击

Abstract: A novel digital watermarking algorithm based on singular value decomposition(SVD) was proposed. The data was collected in amplitude of image frequency domain through setting the start parameter and termination parameter of sampling. Data matrix for embedding watermarking was constructed by using these collection data. The algorithm made SVD on blocks of data matrix, and got a sub-maximum singular value sequence. Watermark was embedded via modifying the sub-maximum singular value. The modification method is a additive means,and intensity can be adjusted according to the image characteristics. The watermarking algorithm can resist geometric distortion depending on data matrix construction method and geometric attacks invariance of sub-maximum. I}he experimental results show that the method is more flexibility and robustness than traditional methods.

Key words: SVD, Digital watermarking, Gcometric distortion

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