吉首大学学报(自然科学版) ›› 2021, Vol. 42 ›› Issue (3): 29-33.DOI: 10.13438/j.cnki.jdzk.2021.03.005

• 计算机与自动化 • 上一篇    下一篇

基于三维轴距的水印算法

唐晗,陈留洋,鲁荣波   

  1. (1.吉首大学信息科学与工程学院,湖南 吉首 416000;2.洛阳师范学院国土与旅游学院,河南 洛阳 471934)
  • 出版日期:2021-05-25 发布日期:2021-08-30
  • 通讯作者: 鲁荣波(1970—),男,湖南慈利人,吉首大学信息科学与工程学院教授,工学博士,硕士生导师,主要从事信息理论、信息安全、移动支付等研究.

Watermarking Algorithm Based on 3D Wheelbase

TANG Han, CHEN Liuyang, LU Rongbo   

  1. (1.College of Information Science and Engineering, Jishou University, Jishou 416000, Hunan China; 2. College of Land and Tourism, Luoyang Normal University, Luoyang 471934, Henan China)
  • Online:2021-05-25 Published:2021-08-30

摘要:为了提高水印的不可见性和鲁棒性,设计了基于三维轴距的水印算法.首先利用计算鬼成像加密技术对原水印图像进行加密;然后在三维直方图的基础上定义图像的三维轴距,求得轴距最大时所有像素点的集合;最后借助粒子群优化算法,在集合中找到最好的点作为水印嵌的位置.不可见性和鲁棒性仿真实验结果表明,基于三维轴距的水印算法是有效性的.

关键词: 计算鬼成像, 三维轴距, 粒子群, 图像加密, 鲁棒性, 不可见性

Abstract: In order to obtain watermarking with superior robustness and invisibility, a watermarking algorithm based on 3D wheelbase is proposed. Firstly, the watermark image is encrypted by calculating the encryption technology of ghost imaging, then the 3D wheelbase of the image is defined on the basis of 3D histogram, and the set of all pixel points when the wheelbase is maximum is obtained. Finally, the best point in this set is found as the embedding position of the watermark through particle swarm optimization algorithm. Simulation experiments of robustness and invisibility  show the effectiveness of the proposed algorithm.

Key words: computational ghost imaging, three-dimensional wheelbase, particle swarm, image encryption, robustness, invisibility

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