基于小波变换-海森伯格矩阵-奇异值分解的图像水印算法  

Image Watermarking Algorithm Based on Wavelet Transform‐Hessenberg Matrix‐Singular Value Decomposition

作　　者：李文娜[1] Li Wenna(School of Artificial Intelligence and Software,Liaoning Petrochemical University,Fushun Liaoning 113001,China)

机构地区：[1]辽宁石油化工大学人工智能与软件学院,辽宁抚顺113001

出　　处：《辽宁石油化工大学学报》2022年第5期84-89,共6页Journal of Liaoning Petrochemical University

基　　金：辽宁省教育厅基本科研项目(LJKZ0399)。

摘　　要：为提高水印图像的不可见性和算法鲁棒性,通过小波变换-海森伯格矩阵-奇异值分解的方法研究了彩色图像水印算法。首先,对宿主图像和水印图像进行了彩色空间变换;然后,对载体图像进行了小波变换;最后,对低频系数进行了海森伯格矩阵-奇异值分解后嵌入水印图像。结果表明,该算法对多种攻击方式有较强的鲁棒性,嵌入水印后宿主图像不可见性好,嵌入信息能力强,具有一定的应用价值。In order to improve the balance between invisibility and robustness of image watermarking,a color image watermarking algorithm is studied by using wavelet transform and Heisenberg array decomposition(HAD)singular value decomposition(SVD).Firstly,the host image and watermark image are transformed through color space color space,then the host image is transformed by wavelet transform,then the low frequency coefficients are decomposed by HAD and SVD,and the watermark is embedded after SVD in the low frequency.The experimental results show that the proposed watermarking method has strong robustness against multiple watermarking attacks,which is reflected by the normalized correlation NC of the objective evaluation criteria of extracted watermarks.The host image has good invisibility after embedded watermark,which is reflected by objective evaluation standard peak signal‐to‐noise ratio(PSNR)and structural similarity of images(SSIM).It can embed grayscale or color large watermark with strong ability of embedding information.It is concluded that that the watermarking method has a certain application value.

关 键 词：图像水印 海森伯格矩阵分解 奇异值分解 小波变换 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]