华东师范大学学报(自然科学版) ›› 2005, Vol. 2005 ›› Issue (4): 26-31.

• 计算机科学 • 上一篇    下一篇

一种基于小波变换的图像自适应数字水印算法

万英杰,王新伟   

  1. 华东师范大学 计算机科学与技术系, 上海200062
  • 收稿日期:2004-01-02 修回日期:2004-10-05 出版日期:2005-11-25 发布日期:2005-11-25
  • 通讯作者: 万英杰

An Image adaptive Digital Watermarking Algorithm Based on DWT(Chinese)

WAN Ying-jie,WANG Xin-wei

  

  1. Department of Computer Science and Technology,East China Normal University,Shanghai200062,China
  • Received:2004-01-02 Revised:2004-10-05 Online:2005-11-25 Published:2005-11-25
  • Contact: WAN Ying-jie

摘要: 提出了一种基于小波变换的图像自适应数字水印算法.首先对水印图像作置乱处理,然后对原始图像和置乱后的水印图像进行小波分解,并根据马尔可夫随机场对图像视觉效果建模,在该模型下求取每个低频系数的允许失真值,利用允许失真值调整水印嵌入位置和强度,从而达到自适应地嵌入水印的目的.最后,将所得的水印图像的低频系数嵌入选定的原始图像.

关键词: 数字水印, 小波变换, 马尔可夫随机场, 自适应性, 噪声可视性函数, 数字水印, 小波变换, 马尔可夫随机场, 自适应性, 噪声可视性函数

Abstract: An image-adaptive watermarking algorithm based on wavelet transform was proposed. At first, A digital image used as watermark was scrambled. Next, the original image and scrambled watermark image was decomposed by discrete wavelet transform(DWT), and the Markov random field model was used to obtain the allowable distorted parameter of every lowest approximate coefficient, embedding position; and intensity were adjusted according to the allowable distorted parameter. At last, the lowest approximate coefficients of watermark was embedded into lowest approximate coefficients which were selected from original image.

Key words: discrete wavelet transform, Markov random field, adaptive, noise visibility function., digital watermarking, discrete wavelet transform, Markov random field, adaptive, noise visibility function.

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