计算机科学 ›› 2011, Vol. 38 ›› Issue (2): 271-273.

• 图形图像 • 上一篇    下一篇

一种NMF和SVD相结合的鲁棒水印算法

刘如京,王玲   

  1. (湖南大学电气与信息工程学院 长沙410082)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受湖南省教育厅资助科研项目(060522)资助。

Robust Watermarking Scheme Based on NMF and SVD

LIU Ru-jing,WANG Ling   

  • Online:2018-11-16 Published:2018-11-16

摘要: 提出了一种非负矩阵变换(NM})和奇异值分解(SVD)相结合的数字水印算法。该算法对宿主图像进行离散小波变换,然后选取低频部分进行非负矩阵变换和奇异值分解,最后在奇异值中嵌入Arnold置乱后的水印。实验表明,该算法在获得良好的视觉效果的同时,又具有很好的鲁棒性,对加噪、滤波、剪切等图像攻击有很好的抵杭能力。

关键词: 离散小波变换,非负矩阵变换,奇异值分解,Arnold置乱

Abstract: In this paper, a digital watermarking algorithm based on nonncgative matrix factorization(NMF) and singular value decomposition(SVD))was proposed. The host image was decomposed with DWT. NMF and SVD were applied to the low frequency component of the original image. The watermark after Arnold scrambling was embedded into the singular value of the image. The experiment results indicate that the proposed scheme can obtain better visual effect and it is robust against attacks such as added noise, filtering and cropping.

Key words: DWT, NMF,SVD, Arnold scrambling

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