计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (11): 115-118.DOI: 10.3778/j.issn.1002-8331.2010.11.035

• 网络、通信、安全 • 上一篇    下一篇

基于整数提升小波变换的多功能数字水印

陈光喜1,尹 柳1,易招师2   

  1. 1.桂林电子科技大学 计算科学与数学学院,广西 桂林 541004
    2.桂林电子科技大学 信息与通信学院,广西 桂林 541004
  • 收稿日期:2008-09-25 修回日期:2008-12-01 出版日期:2010-04-11 发布日期:2010-04-11
  • 通讯作者: 陈光喜

Multi-purpose digital watermark based on integer lifting wavelet transformation

CHEN Guang-xi1,YIN Liu1,YI Zhao-shi2   

  1. 1.School of Mathematics and Computational Science,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China
    2.College of Information and Telecommunication Engineering,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China
  • Received:2008-09-25 Revised:2008-12-01 Online:2010-04-11 Published:2010-04-11
  • Contact: CHEN Guang-xi

摘要: 针对大多数水印算法只具有单一的功能,提出了一种新的多功能数字水印算法。首先将图像进行整数提升小波变换,根据不同的嵌入算法调整自适应量化公式分别量化低频系数和水平方向的高频系数。然后将鲁棒水印嵌入到量化后的低频系数,用于版权保护,该水印嵌入方法并没有改变原图像内容,因此不影响第二个水印的嵌入和提取。采用系数抖动调制的方法将半脆弱水印嵌入到自适应量化后的水平方向的高频系数,用于内容认证。实验结果表明该算法能够很好地实现数字图像版权保护、篡改检测和定位。

关键词: 版权水印, 认证水印, 自适应量化, 整数提升小波变换

Abstract: Due to the majority watermark algorithms have the sole function,this paper presents a novel multi-purpose digital watermark algorithm.At first,the image is transformed with the integer lifting wavelet,the coefficients of low frequency and the coefficient of horizontal high frequency are quantified using different quantitative formulas,which adjust to different embedding algorithm.Then,the robust watermark is embedded in the coefficients of low frequency to protect copyright;the original image content is hold,so it does not affect the second watermark embedding and extracting.The semi-fragile watermark is embedded in the coefficient of horizontal high frequency based on coefficient dither modulation to achieve the goal of content authentication.The experimental result shows this algorithm can realize copyright protection,tamper detection and localization well.

Key words: copyright watermark, authentication watermark, adaptive quantization, the integer lifting wavelet transformation

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