摘要
针对图像水印算法在攻击强度较大时鲁棒性差的问题,提出了一种基于图变换(graph-based transform,GBT)、离散小波变换(discrete wavelet transform,DWT)和奇异值分解(singular value decomposition,SVD)的鲁棒图像水印算法。首先对载体图像进行不重叠分块处理,挑选出像素方差值较高的子块进行DWT得到其低频系数矩阵,然后对低频系数矩阵依次进行GBT和SVD得到奇异值矩阵,最后将水印信息嵌入到奇异值矩阵的最大奇异值中。实验结果表明,Pirate图像结构相似度(structural similarity,SSIM)达到0.97以上时,本文算法能有效抵抗噪声、滤波、JPEG压缩、剪切和交换行列等攻击,归一化互相关系数(normalization coefficient,NC)值均在0.9以上。
Aiming at the problem of poor robustness of image watermarking algorithms when the attack is strong,a robust method based on graph-based transform(GBT),discrete wavelet transform(DWT)and singular value decomposition(SVD)is proposed.First,we perform non-overlapping block processing on the carrier image,select the sub-blocks with higher pixel variance values and perform DWT on each sub-block to obtain its low-frequency coefficient matrix,and then perform GBT and SVD on the low frequency coefficient matrix in turn to obtain the singular value matrix,and finally embed the watermark information to the largest singular value matrix.The experimental results show that when Pirate image structure similarity(SSIM)reaches 0.97 or more,the algorithm in this paper can effectively resist attacks such as noise,filtering,JPEG compression,cropping,and exchange of ranks,and the normalization coefficient(NC)value is all above 0.9.
作者
闻斌
张天骐
熊天
吴超
WEN Bin;ZHANG Tianqi;XIONG Tian;WU Chao(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications(CQUPT),Chongqing,400065,China)
出处
《光电子．激光》
CAS
CSCD
北大核心
2022年第8期879-886,共8页
Journal of Optoelectronics·Laser
基金
国家自然科学基金(61671095,61702065,61701067,61771085)
信号与信息处理重庆市市级重点实验室建设项目(CSTC2009CA2003)
重庆市自然基金项目(cstc2021jcyj-msxmX0836)
重庆市教育委员会科研项目(KJ1600427,KJ1600429)资助项目
关键词
图像水印
图变换
小波变换
奇异值分解
像素方差值
image watermark
graph-based transform(GBT)
discrete wavelet transform(DWT)
singular value decomposition(SVD)
pixel variance value
作者简介
张天骐(1971-),男,博士后,教授,硕士/博士生导师,主要从事通信信号的调制解调、盲处理等方面的研究.E-mail:15236627651@163.com
