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空域强鲁棒零水印方案

熊祥光

自动化学报2018,Vol.44Issue(1):160-175,16.
自动化学报2018,Vol.44Issue(1):160-175,16.DOI:10.16383/j.aas.2018.c160478

空域强鲁棒零水印方案

A Zero Watermarking Scheme with Strong Robustness in Spatial Domain

熊祥光1

作者信息

  • 1. 贵州师范大学大数据与计算机科学学院 贵阳550001
  • 折叠

摘要

Abstract

In order to solve the contradiction between imperceptibility and robustness of traditional robust watermarking technology, the spatial domain zero watermarking technology is researched and the effect of the numerical relationship between the overall mean of all selected blocks and block mean against common image processing attacks is analyzed. The results show that the numerical relationship has strong stability. Based on this, a new zero watermarking scheme with strong robustness in the spatial domain is proposed. Firstly, using the characteristic of sensitivity to initial value, logistic mapping is used to find the position of image block and the original copyright information is pre-processed by chaotic encryption and Arnold scrambling technologies. Secondly, the stability of the numerical relationship between the overall mean of all selected blocks and block mean is utilized to generate feature information. Finally, the generated zero watermarking signal is post-processed again by chaotic encryption and Arnold scrambling technologies. Experimental results on a large number of standard test images show that the proposed algorithm has strong robustness against common image processing, scaling, rotation, and various combination attacks. Compared with similar robust zero watermarking schemes, the proposed scheme not only saves 90 % running time but also improves robustness performance by 15 % on average. These results show that it has lower computational complexity and better performance and can be applied in copyright protection applications for high quality requirements of cover images.

关键词

混沌系统/空域/零水印/常规攻击/组合攻击/鲁棒性

Key words

Chaos system/spatial domain/zero watermarking/common attack/combination attack/robustness

引用本文复制引用

熊祥光..空域强鲁棒零水印方案[J].自动化学报,2018,44(1):160-175,16.

基金项目

国家自然科学基金(61309006),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),中央引导地方科技发展专项资金(黔科中引地[2016]4006)资助Supported by National Natural Science Foundation of China(61309006),Natural Science Foundation of Educational Com-mission of Guizhou Province(Qian-Jiao-He KY Zi[2015]434),Major Research Program of Creative Groups of Educational Commission of Guizhou Province(Qian-Jiao-He KY Zi[2016]027),and Central Leading Local Science and Technology Devel-opment Special Foundation(Qian-Ke-Zhong-Yin-Di[2016]4006)本文责任编委赖剑煌 (61309006)

自动化学报

OA北大核心CSCDCSTPCD

0254-4156

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