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基于多小波变换和分块SVD的彩色图像水印算法
引用本文:韩绍程,罗长杰,张兆宁,王玉松. 基于多小波变换和分块SVD的彩色图像水印算法[J]. 图学学报, 2010, 31(2): 128
作者姓名:韩绍程  罗长杰  张兆宁  王玉松
摘    要:提出了一种基于多小波变换和分块SVD的非盲水印算法。选择彩色图像的饱和度分量作为水印的嵌入域,水印为有意义的灰度图像,水印经Arnold置乱后被嵌入到饱和度分量多小波变换的不同中频区域中。实验证明,该算法不仅对噪声、JPEG压缩、剪切及Photoshop处理具有很好的鲁棒性,而且能抵抗旋转、放缩和平移等几何攻击。

关 键 词:计算机应用  图像水印  多小波变换  分块奇异值分解  

A Color Image Watermarking Algorithm Based onMulti-Wavelet Transform and Block-SVD
HAN Shao-cheng,LUO Chang-jie,ZHANG Zhao-ning,WANG Yu-song. A Color Image Watermarking Algorithm Based onMulti-Wavelet Transform and Block-SVD[J]. Journal of Graphics, 2010, 31(2): 128
Authors:HAN Shao-cheng  LUO Chang-jie  ZHANG Zhao-ning  WANG Yu-song
Abstract:A non-blind watermarking algorithm is proposed based on multi-wavelet transform and block singular value decomposition. Choosing the saturation component of a color image as the watermark embedding domain, the watermark is a meaningful grayscale image. After Arnold scrambling, watermark is embedded into the different mid-frequency regions of the saturation component which through multi-wavelet transform. The examples demonstrate that the algorithm not only has good robustness to the noise, JPEG compression, shear and Photoshop processing , but also can resist to some geometric attacks such as rotation, scale and translation.
Keywords:computer application  image watermarking  multi-wavelet transform  block singular value decomposition  
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