吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (1): 249-254.doi: 10.13229/j.cnki.jdxbgxb201701036

• 论文 • 上一篇    下一篇

高 鲁 棒 性 的 图 像 水 印 算 法

赵博, 秦贵和   

  1. 吉林大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2015-10-15 出版日期:2017-01-20 发布日期:2017-01-20
  • 通讯作者: 秦贵和(1962-),男,教授,博士生导师.研究方向:嵌入式与智能控制.E-mail:qingh@jlu.edu.cn
  • 作者简介:赵博(1988-),男,博士研究生.研究方向:图像处理.E-mail:wolfers509@126.com
  • 基金资助:
    吉林省科技发展计划项目(20150204034GX).

High robustness image watermarking algorithm

ZHAO Bo, QIN Gui-he   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012,China
  • Received:2015-10-15 Online:2017-01-20 Published:2017-01-20

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摘要： 首先提取原图像基于视觉注意模型的显著图,然后通过NMF分解得到降维显著图作为灰度水印图像,之后通过混沌加密算法对水印图像进行置乱,将置乱后的水印信息通过DCT-SVD变换嵌入原图像的低频分量中。在接收端,对接收到的图像进行水印提取和解密操作得到原始灰度水印图像,即原图像的显著图,同时提取接收图像的显著图,通过对比原图像显著图与接收图像显著图的差异性,利用基于Lorenz曲线的差异算法与合理阈值判断接收图像是否受到噪声干扰或人为篡改。与其他类似算法的对比结果表明, 该算法针对噪声干扰与人为篡改有着很好的区分性。

关键词: 计算机应用, 视觉注意模型, 图像水印, Lorenz曲线, 图像认证

Abstract: First, the saliency is extracted from the original image based on visual attention model. Then, the image is decomposed by Non-negative Matrix Factorization (NMF) to reduce the dimension and scrambled by chaotic encryption. The decomposed saliency map is embedded into the frequency component of the original image by DCT-SVD transform. At the receiving terminal, the watermarking is extracted from the received image, and the saliency map of the received image is also extracted. Finally, comparison of the difference between the received image's saliency map and watermarking, the Lorenz curve and the reasonable threshold are used to determine whether the received image is changed by noise or artificial tampering. Compared with other similar algorithms, the proposed algorithm has good discrimination against noise interference and artificial tampering.

Key words: computer application, visual attention model, image watermarking, Lorenz curve, image authentication

中图分类号: 

  • TP751.1
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