XUAN Chun-qing1, XUAN Zhi-wei2, ZHANG Xia2, CHEN Bao-li2
(1. Zhengzhou Chenggong University of Finance and Economics, Department of Information Engineering, Gongyi 451200, China;2. School of Instrument and Electronics, North University of China, Taiyuan 030051, China)
Abstract： This paper presents a new digital image blind watermarking algorithm based on combination of discrete wavelet transform (DWT) and singular value decomposition (SVD). First of all, we make wavelet decomposition for the original image and divide the acquired low frequency sub-band into blocks. Then we make singular value decomposition for each block and embed the watermark information in the largest singular value by quantitative method. The watermark can be extracted without the original image. The experimental results show that the algorithm has a good imperceptibility and robustness.
Key words： discrete wavelet transform; singular value decomposition; a blind watermarking algorithm; robustness
CLD number： TP391 Document code： A
Article ID： 1674-8042(2014)02-0031-05 doi： 10.3969/j.issn.1674-8042.2014.02.006
References
[1] ZHOU Peng-ying, SHEN Lei, TIAN Xiao-li, et al. Digital watermarking algorithm based on DWT and SVD. Application Research of Computets, 2010, 27(5): 1896-1897.
[2] AI Li-hua, CHEN Qing. Novel blind watermarking based on singular value decomposition and wavelet transform. Application Research of Computers, 2011, 28(3): 1155-1157.
[3] WANG Xuan-hong, XIAO Yun. Watermarking algorithm of wavelet domain based on singular value decomposition. Modern Electronics Technique, 2010, 33(5): 86-88.
[4] ZHANG Guan-nan, WANG Shu-xun, WEN Guan. An adaptive blind watermarking algorithm to embed readable watermark. Acta Electronica Sinica, 2005,33(2): 308-312.
[5] LIU Jiu-fen, HUANG Da-ren, HU Jun-quan. The orth-ogonal vavelet bases for digital watermarking. Journal of Electronics and Information Technology, 2003, (4), 453-459.
[6] YANG Jun, ZHANG Gui-cang, WEI Wei-yi. Digital image watermarking algorithm based on DWT and SVD. Journal of Changchun University of Science and Technology, 2005, 28(4): 81-84.
[7] CHEN Ming-ju, CHEN Shan-xue. A digital watermarking technique based on DWT and SVD. Information And Electronic Engineering, 2007, 5(1): 57-61.
[8] LIU Rui-zhen, TAN Tie-niu. SVD based digital watermarking method. Acta Electronica Sinica, 2001, 29(2): 168-171.
[9] Bao P, MA Xiao-hu. Image adaptive watermarking using wavelet domain singular value decomposition. IEEE Transactions on Circuits and Systems for Video Technology, 2005, 15(1): 96-102.
[10] Ali M, Ahn C W. An optimized watermarking technique based on self-adaptive DE in DWT-SVD transform domain. Signal Processing, 2014, 94: 545-556.
[11] Luke Teacy W T, Jigar P, Jennings N R, et al. Travous: Trust and reputation in the context of inaccurate information sources. Autonomous Agentsand Multi agent Systems, 2006, 12(12): 183-198.
基于小波变换与奇异值分解的图像盲水印算法
轩春青1, 轩志伟2, 张霞2, 陈保立2
(1. 郑州成功财经学院 信息工程系, 河南 巩义 451200; 2. 中北大学 仪器与电子学院, 山西 太原 030051）
摘要:本文提出了一种新的基于离散小波变换(DWT)与奇异值分解(SVD)相结合的数字图像盲水印算法。 该算法首先将原始图像作小波分解并将小波分解得到的低频子带进行分块， 再对每一块进行奇异值分解， 然后选取每块中最大的奇异值通过量化的方法嵌入水印信息， 而且水印的提取不需要原始图像。 实验结果表明， 该算法具有一定的不可感知性及鲁棒性。
关键词:离散小波变换； 奇异值分解； 盲水印算法； 鲁棒性
引用格式：XUAN Chun-qing, XUAN Zhi-wei, ZHANG Xia, et al. A blind watermarking algorithm based on DWT and SVD. Journal of Measurement Science and Instrumentation, 2014, 5(2): 31-35. [doi: 10.3969/j.issn.1674-8042.2014.02.006]
[full text view]
