华东师范大学学报(自然科学版) ›› 2007, Vol. 2007 ›› Issue (1): 100-106.

• 计算机科学 • 上一篇    下一篇

关于SVD图像水印算法的分析和改进

李斌，王新伟
  

  1. 华东师范大学 计算机科学技术系，上海 200062
  • 收稿日期:2006-02-17 修回日期:2006-05-12 出版日期:2007-01-25 发布日期:2007-01-25
  • 通讯作者: 王新伟

Analysis and Improvement of SVDBased Image Watermarking Algorithm(Chinese)

LI Bin, WANG Xin-wei
  

  1. Department of Computer Science and Techonology,East China Normal University,Shanghai 200062, China
  • Received:2006-02-17 Revised:2006-05-12 Online:2007-01-25 Published:2007-01-25
  • Contact: WANG Xin-wei

摘要： 分析现有的利用奇异值分解的一些图像水印算法，指出其存在着对原始载体图像和随机选取的图像的误检测率高的问题.通过分析奇异值分解的性质，指出了造成以上问题的原因并构造了一种新的算法.实验表明新算法能够比较好地区别含水印图像和未含水印的原始载体图像，对随机选取的图像的误检测率也大大降低，同时保证了比较高的鲁棒性，有实用价值.

关键词: 数字水印, 奇异值分解, 误检测率, 伪造水印, 最重要列, 数字水印, 奇异值分解, 误检测率, 伪造水印, 最重要列

Abstract: This paper analyzed some existing image watermarking algorithms using
singular value decomposition(SVD) technique, and pointed out they have the problem of high error detection rate of original image and randomly chosen images. With the analysis of SVD's properties a new algorithm was proposed. Experiments showed the new proposed algorithm can distinguish the watermarked image from unwatemarked original image.It can also
significantly decrease error detection rate of randomly chosen images.
This algorithm has good robustness.

Key words: SVD, error detection rate, counterfeit watermarking, most important column, digital watermarking, SVD, error detection rate, counterfeit watermarking, most important column

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