• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

• 论文 • 上一篇    下一篇

空域彩色图像鲁棒零水印算法

熊祥光   

  1. (贵州师范大学大数据与计算机科学学院,贵州 贵阳 550001)
  • 收稿日期:2015-08-08 修回日期:2015-09-29 出版日期:2017-01-25 发布日期:2017-01-25
  • 基金资助:

    贵州省科学技术厅、贵州师范大学联合科技基金资助项目(黔科合LH字[2014]7041号);贵州省教育厅自然科学基金(黔教合KY字[2015]434);贵州省教育厅创新群体重大研究项目(黔教合KY字[2016]027)

A robust zerowatermarking algorithm
for spatial domain color images

XIONG Xiangguang   

  1. (School of Big Data and Computer Science,Guizhou Normal University,Guiyang 550001,China)
  • Received:2015-08-08 Revised:2015-09-29 Online:2017-01-25 Published:2017-01-25

摘要:

针对传统变换域水印算法往往通过修改变换域系数来嵌入水印信号,影响图像不可感知性的问题,利用载体图像整体均值与分块均值之间大小关系的稳定性,提出一种新的空域彩色图像鲁棒零水印算法。算法直接在空域通过整体图像均值与分块均值之间的关系构造特征矩阵,之后将此特征矩阵与预处理后的水印信息进行异或运算构造零水印信息,预处理之后再注册到知识产权数据库里。提取水印信息时,通过投票策略得到最终提取的水印信息。大量的仿真实验结果表明,该算法对常规的信号处理攻击、行列平移、尺寸缩放和旋转等几何攻击具有较强的鲁棒性。与相似的鲁棒水印算法相比,对于大多数的攻击,该算法具有更优越的性能。

关键词: 彩色图像, 零水印, 空域, 鲁棒性

Abstract:

Traditional transform domain watermarking algorithms always embed watermarking signals by modifying transform domain coefficients, thus affecting the imperceptibility of the image. Using the stability of the numerical relationship between the entire image mean and block mean, we propose a robust zerowatermarking algorithm for spatial domain color images. A feature matrix is produced by judging the numerical relationship between the mean of the entire image and each block. The zerowatermarking information is constructed by performing XOR operation on both the feature matrix and the preprocessed watermarking information. After preprocessing, it is registered in the intellectual property rights database. When extracting watermarking, we obtain the final extracted watermarking information by the vote strategy. A large number of experimental results show that the proposed algorithm has strong robustness against conventional signal processing attacks and geometric attacks, such as row and column shifting, scaling and rotation. Compared with similar robust watermarking algorithms, the proposed algorithm has a better performance against most attacks.

Key words: color image, zerowatermarking, spatial domain, robustness