Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (32): 159-160.DOI: 10.3778/j.issn.1002-8331.2009.32.050

• 图形、图像、模式识别 • Previous Articles     Next Articles

Image watermarking algorithm on wavelet packet characteristic entropy decomposition

OUYANG Chun-juan1,LIU Chang-xin1,YANG Qun-sheng2   

  1. 1.Faculty of Information Science and Media,Jinggangshan University,Ji’an,Jiangxi 343009,China
    2.Faculty of Computer,Guangdong University of Technology,Guangzhou 510090,China
  • Received:2008-06-20 Revised:2008-10-23 Online:2009-11-11 Published:2009-11-11
  • Contact: OUYANG Chun-juan

小波包特征熵分解的图像水印算法

欧阳春娟1,刘昌鑫1,杨群生2   

  1. 1.井冈山大学 信息科学与传媒学院,江西 吉安 343009
    2.广东工业大学 计算机学院,广州 510090
  • 通讯作者: 欧阳春娟

Abstract: An adaptive image watermarking algorithm based on wavelet packet decomposition of characteristic entropy is proposed.After the host image is decomposed by the wavelet packet of characteristics entropy,the watermarking will be adaptively embedded in the high-frequency coefficients,which are distinguished between the image texture detail information and noise information by a suitable threshold.The experiments show that the algorithm has a certain robustness to the attacks including noise,JPEG2000,filtering,changing the contrast,and geometric cut,etc.

Key words: wavelet packet, characteristic entropy, adaptive, watermarking

摘要: 提出了一种小波包特征熵分解的自适应图像水印算法。该算法通过对宿主图像进行小波包特征熵分解,在高频系数中选取合适的阈值来区分高频系数中图像的纹理细节信息和噪声信息,将水印信息自适应地嵌入到高频系数当中。实验表明,该水印算法对噪声、JPEG2000压缩、滤波、改变对比度、几何剪切等攻击都具有一定的健壮性。

关键词: 小波包变换, 特征熵, 自适应, 水印

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