吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

基于多尺度变换和支持向量回归机的数字图像水印算法

李景富, 周鹏   

  1. 黄淮学院 国际教育学院, 河南 驻马店 463000
  • 收稿日期:2016-08-04 出版日期:2017-07-26 发布日期:2017-07-13
  • 通讯作者: 李景富 E-mail:jingfu2008@sohu.com

Digital Image Watermarking Algorithms Based on Multi-scale Transform and Support Vector Regression

LI Jingfu, ZHOU Peng   

  1. College of International, Huanghuai University, Zhumadian 463000, Henan Province, China
  • Received:2016-08-04 Online:2017-07-26 Published:2017-07-13
  • Contact: LI Jingfu E-mail:jingfu2008@sohu.com

摘要: 针对当前数字图像水印算法存在的信息隐藏性能差、 保密性低、 易受攻击等缺陷, 提出一种基于多尺度变换和支持向量回归机的数字图像水印算法. 首先, 采用小波变换对原始数字图像进行多尺度分解, 得到多个不同子带; 然后, 对不同的子带系数采用支持向量回归机进行训练, 估计子带间的关系; 最后, 训练完成的支持向量回归机将水印嵌入到图像中, 并通过具体数字图像水印仿真实验测试其性能. 实验结果表明, 该算法的水印信息隐蔽性好, 具有良好的不可感知性, 可以抵抗各种类型的攻击, 提高了数字图像的安全性.

关键词: 信息隐蔽性, 小波变换, 水印算法, 支持向量回归机

Abstract: Aiming at the shortcomings of the current digital image watermarking algorithms, such as poor information hiding performance, low security and easy attack, we proposed digital image watermarking algorithms based on multi\|scale transform and support vector regression. Firstly, wavelet transform was used to decompose the original digital image into many different subbands. Secondly, subband coefficients were trained by support vector regression, and the relation between subbands was estimated. Finally, watermark was embedded into image based on the results of training support vector regression machine, and its performance was tested through the specific digital image watermarking simulation experiment. The experimental results show that the proposed algorithm has good information concealment and good imperceptibility, and it can resist all kinds of attacks and improve the security of digital images.

Key words: wavelet transform, support vector regression, information concealment, watermarking algorithm

中图分类号: 

  • TP391