融合IWT与SVD的鲁棒和隐蔽性数字图像水印方案  

Robust and Invisible Digital Image Watermarking Scheme Based on IWT and SVD

作　　者：廖洪建[1] 黄良永[1,2] 

机构地区：[1]广西科技师范学院数学与计算机科学学院,广西来宾546199 [2]武汉理工大学信息工程学院,湖北武汉410082

出　　处：《湘潭大学自然科学学报》2016年第3期59-63,共5页Natural Science Journal of Xiangtan University

基　　金：广西高校科研项目(LX2014500);柳州市科技课题(2014C030402);来宾市科技攻关课题(143620)

摘　　要：针对数字图像水印的鲁棒性和隐蔽性问题,提出一种基于整数小波变换(IWT)和奇异值分解(SVD)的图像水印方案.首先,利用整数小波变换将宿主图像变换到小波域.然后,在获得的每个频带上进行奇异值分解,并根据比例因子将水印嵌入奇异值中.最后,在权衡考虑鲁棒性和隐蔽性下,利用粒子群优化(PSO)算法获得最优的比例因子.实验结果表明,该水印方案对常见的图像处理操作具有较好的鲁棒性,同时保持了优良的隐蔽性.To resolve the problem of the robustness and invisibility of digital image watermarking,an image watermarking scheme based on integer wavelet transform（IWT）and singular value decomposition（SVD）is proposed.Firstly,the host image is transformed into wavelet domain by using integer wavelet transform.Then,the singular value decomposition is performed on each frequency band,and the watermark is embedded into the singular value according to the scaling factor.Finally,the optimal scaling factor is obtained by using the particle swarm optimization（PSO）algorithm under the tradeoff between robustness and invisibility.Experimental results show that the proposed watermarking scheme is robust to common image processing operations,while maintaining excellent concealment.

关 键 词：图像水印 整数小波变换 奇异值分解 粒子群优化算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]