基于高容量强鲁棒的图像水印算法

doi:10.13229/j.cnki.jdxbgxb20200681

吉林大学学报(工学版) ›› 2022, Vol. 52 ›› Issue (1): 174-179.doi: 10.13229/j.cnki.jdxbgxb20200681

• 计算机科学与技术 • 上一篇

基于高容量强鲁棒的图像水印算法

李喜艳^1,²(),周夏冰³(),刘征^1,⁴

^1.解放军信息工程大学数学工程与先进计算国家重点实验室，郑州 450001
^2.海南师范大学信息科学技术学院，海口 571158
^3.苏州大学计算机科学与技术学院，苏州 215006
^4.河南牧业经济学院信息工程学院，郑州 450001

收稿日期:2020-06-28 出版日期:2022-01-01 发布日期:2022-01-14
通讯作者: 周夏冰 E-mail:xiyanli2006@163.com;zhouxiabing@suda.edu.cn
作者简介:李喜艳（1983-），女，副教授，博士. 研究方向：数字图像信息隐藏.E-mail：xiyanli2006@163.com
基金资助:
国家自然科学基金项目(61572444)

High-capacity and robust image watermarking algorithm

Xi-yan LI^1,²(),Xia-bing ZHOU³(),Zheng LIU^1,⁴

^1.State Key Laboratory of Mathematical Engineering and Advanced Computing，PLA Information Engineering University，Zhengzhou 450001，China
^2.School of Information Science and Technology，Hainan Normal University，Haikou 571158，China
^3.School of Computer Science and Technology，Soochow University，Suzhou 215006，China
^4.School of Information on Engineering，Henan University of Animal Husbandry and Economy，Zhengzhou 450001，China

Received:2020-06-28 Online:2022-01-01 Published:2022-01-14
Contact: Xia-bing ZHOU E-mail:xiyanli2006@163.com;zhouxiabing@suda.edu.cn

摘要/Abstract

摘要：

提出一种可靠的数字水印技术，首次对水印图像采用半色调和四叉树技术进行预处理，将内容的位置信息提取出来作为实际的嵌入值；载体图像进行离散小波变换（DWT），对高频子图进行 $8 × 8$ 分割和最佳离散余弦变换（DCT）操作；信息嵌入到DCT变换矩阵失真最小的位置。在提取水印时，通过系数矩阵最佳位置数据对的比较规则，准确提取出水印内容的位置信息，进而恢复水印图片。仿真实验分析表明，本文算法不仅能够提高水印的有效嵌入量和鲁棒性，而且在剪切、噪声、JPEG压缩和过滤等常规攻击中具备较强的抗攻击能力。

关键词: 数字水印, 半色调, 四叉树, 离散小波变换, 离散余弦变换

Abstract:

This paper presents a reliable digital watermarking technique. For the first time， the watermark image is preprocessed by halftone and quad tree techniques， and the position information of the content is extracted as the actual embedded value. The cover image is processed by Discrete Wavelet Transform （DWT）， and then the high frequency sub-band is divided into blocks， sized by . The blocks were processed by an optimal Discrete Cosine Transform （DCT） psychovisual threshold. Embedding process in this paper utilizes certain frequency regions of DCT such that insertion of watermark bits causes the least image distortion. The information was extracted by comparing certain coefficients based on some rules. According to the information， the watermark image can be reconstructed. The experimental results show that our algorithm achieves higher capacity and robustness than the existing schemes. The watermark extraction produces high image quality after cutting， noise， filter and JPEG compression attacks.

Key words: digital watermarking, halftone, quad tree, discrete wavelet transforms, discrete cosine transforms

中图分类号:

TP309

李喜艳,周夏冰,刘征. 基于高容量强鲁棒的图像水印算法[J]. 吉林大学学报(工学版), 2022, 52(1): 174-179.

Xi-yan LI,Xia-bing ZHOU,Zheng LIU. High-capacity and robust image watermarking algorithm[J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(1): 174-179.

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水印	PSNR	NC
“中”字水印	60.4023	0.9972
预处理“中”字水印	62.1787	0.9966
QR码	60.4876	0.9972
预处理QR码	52.5989	0.9965

噪声	PSNR	NC
椒盐噪声（0.01）	5.7172	0.9972
椒盐噪声（0.05）	5.7159	0.9843
高斯噪声（0.01）	60.8410	0.9411
高斯噪声（0.02）	60.8345	0.9369
高斯噪声（0.03）	60.8330	0.9301
高斯噪声（0.04）	60.8163	0.9295

压缩因子	PSNR	NC
90	36.8765	0.9998
70	35.1194	0.9998
50	30.6012	0.9985
30	30.0010	0.7774

滤波攻击	NC
高斯低通过滤（3×3）	0.9726
中值过滤（3×3）	0.9872

载体图像	文献［8］		本文算法
载体图像	PSNR	NC	PSNR	NC
Lena	45.689	0.994	60.4023	0.9972
Sailboat	45.742	0.994	55.1383	0.9972
Airplane	45.926	0.993	66.8142	0.9972
Baboon	44.546	0.995	62.6918	0.9966
Pepper	45.533	0.994	52.5989	0.9965
Man	45.300	0.995	58.4619	0.9972
Average	45.456	0.994	59.3512	0.9970

基于高容量强鲁棒的图像水印算法

High-capacity and robust image watermarking algorithm

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参考文献 21

相关文章 15

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攻击类型	文献［8］	本文算法
中值过滤［3×3］	0.9854	0.9872
椒盐噪声（0.01）	0.8314	0.9972
高斯噪声（0.001）	0.9393	0.9411
椒盐噪声（0.003）和中值滤波［3×3］	0.9563	0.9584
JPEG（30）	0.7769	0.7774
JPEG（50）	0.9990	0.9985
JPEG（70）	1.0000	0.9998