›› 2016, Vol. 29 ›› Issue (3): 183-.

• 论文 • 上一篇    下一篇

基于Harris特征点和伪Zernike矩的鲁棒水印算法

陈青,翁旭峰   

  1. (上海理工大学 光电信息与计算机工程学院,上海 200093)
  • 出版日期:2016-03-15 发布日期:2016-03-18
  • 作者简介:陈青(1962—),女,博士,副教授,硕士生导师。研究方向:信号处理。翁旭峰(1988—),男,硕士研究生。研究方向:数字水印。
  • 基金资助:

    上海自然科学基金资助项目(12ZR1420800);国家863计划基金资助项目(2012AA050206)

A Robust Image Watermarking Based on Harris Feature Points and Pseudo-Zernike Moments

CHEN Qing,WENG Xufeng   

  1. (School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
  • Online:2016-03-15 Published:2016-03-18

摘要:

抵抗几何攻击的鲁棒性是目前数字水印技术中的热点亦是难点。文中以Harris检测算子和伪Zernike矩为理论基础,提出一种有效抵抗几何攻击的鲁棒水印算法。通过提取归一化图像的Harris特征点,选取部分稳定特征点确定圆形区域并计算伪Zernike矩,并量化调制伪Zernike矩的幅值来嵌入水印信息。实验结果表明,本算法对于抗几何攻击具有较好的鲁棒性,同时也能抵抗常规的信号处理攻击。

关键词: 特征点, Harris检测算子, 伪Zernike矩, 几何攻击, 信号处理攻击

Abstract:

The improvement of the robustness watermarking against geometrical attacks is still a difficult and open problem for watermarking researchers.This paper proposes a geometrically invariant watermarking algorithm based on Harris detector and the pseudo Zernike moment.First the Harris detector is utilized to extract steady feature points from the standard image,then the local feature regions are ascertained according to the feature scale theory,and finally the digital watermark is embedded into the local feature regions by quantizing the magnitudes of the pseudo Zernike moments.Experimental results show that the proposed watermarking algorithm is robust to geometric attacks as well as to common signal processing attacks.

Key words: feature points;Harris detector;pseudo Zernike moments;geometric attacks;signal processing attacks

中图分类号: 

  • TN492