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基于SVD和DWT的彩色图像数字水印方案
引用本文:张永,杨永锋,李敬明.基于SVD和DWT的彩色图像数字水印方案[J].兰州理工大学学报,2007,33(6):77-80.
作者姓名:张永  杨永锋  李敬明
作者单位:兰州理工大学,计算机与通信学院,甘肃,兰州,730050
基金项目:甘肃省自然科学基金(3ZS042-B25-014)
摘    要:提出基于奇异值分解和小波变换的数字水印方案,方案中将一个灰度图像嵌入到彩色图像的蓝色分量中,结合人类视觉系统实现水印的不可见性,实验中用信噪比说明水印嵌入到蓝色分量比嵌入到其他颜色分量中可以更好地保持原始图像的感知质量.实验证明,该方案对JPEG压缩和中值滤波等处理具有较好的鲁棒性.

关 键 词:奇异值分解  离散小波变换  数字水印  人类视觉系统
文章编号:1673-5196(2007)06-0077-04
收稿时间:2007-06-14
修稿时间:2007年6月14日

SVD- and DWT-based color image watermarking scheme
ZHANG Yong,YANG Yong-feng,LI Jing-ming.SVD- and DWT-based color image watermarking scheme[J].Journal of Lanzhou University of Technology,2007,33(6):77-80.
Authors:ZHANG Yong  YANG Yong-feng  LI Jing-ming
Abstract:A color image watermarking scheme was proposed based on signular value decomposition value decomposition and discrete wavelet transform.In this scheme,a gray image as watermark was embedded into blue component of color image.In so doing,the invisibility of watermarking was well realized when the characteristics of human visual system(HVS) was taken into consideration.It was found by comparing their signal-noise ratio that the perceptive quality of original image might be better kept when watermark was embedded into blue component than into other color components.The experiment result showed that the watermarking scheme had a better robustness to JPEG compressing,median filtering,and other attacks.
Keywords:singular value decomposition(SVD)  discrete wavelet transform(DWT)  digital watermarking  human visual system
本文献已被 CNKI 维普 万方数据 等数据库收录!
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