一种基于奇异值分解的盲水印  

SVD Based Blind Watermarking Algorithm

作　　者：张志宏[1] 陈凤祥[1] 王伟[1] 

机构地区：[1]上海交通大学智能控制实验室,上海200030

出　　处：《计算机仿真》2005年第8期115-117,共3页Computer Simulation

摘　　要：随着计算机和因特网技术的发展,数字水印技术开始广泛应用于数字图像、音频、视频和多媒体产品的版权保护。一种基于分块SVD的数字水印算法被提出,原始图像先进行分块SVD分解,选取每块中最大的奇异值通过量化的方法嵌入水印,在水印检测过程中不需要原始图像。同时还通过误差分析直接导出了量化强度和信噪比的数学公式从而对选择量化强度有了理论指导。实验结论和攻击测试表明,算法对如JPEG有损压缩、中值滤波、亚抽样、低通滤波等各种的图像降级处理有很强的稳健性,同时它还对图像尺寸大小没有任何限制。A digital watermark is an invisible mark embedded in digital images, video, or audio documents, which may be used for a number of different purposes including copyright protection, authentication, and captioning. Based on block Singular Value Decomposition, a new algorithm for embedding the watermarking into the block largest singular value is proposed. And the watermarking can be detected without the original image. Meanwhile we produced a formula to estimate the PSNR with a good direction to our selection of quantity intension. Experiments and attack test show that the algorithm has good robustness on JPEG, median filter, sub - sampling, Gaussian low pass filter etc. Moreover the proposed algorithm has no limitation on the size of image.

关 键 词：版权保护 奇异值分解 盲水印 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]