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基于小波变换的图像自适应数字水印算法研究*
引用本文:刘涛,肖汉.基于小波变换的图像自适应数字水印算法研究*[J].计算机应用研究,2010,27(3):1058-1060.
作者姓名:刘涛  肖汉
作者单位:1. 郑州大学,信息工程学院,郑州,450001;郑州师范高等专科学校,信息技术系,郑州,450044
2. 郑州师范高等专科学校,信息技术系,郑州,450044;武汉大学,遥感信息工程学院,武汉,430079
基金项目:国家自然科学基金资助项目 (40571131);国家“863”计划资助项目 (2006AA0576)
摘    要:提出了一种基于小波变换的图像自适应数字水印算法。首先对水印图像作置乱处理;然后对原始图像进行小波分解,并根据人类视觉系统的特性,在小波分解的低频域中,采用邻域均值代替单个小波系数进行估计和量化的方法,将水印自适应地嵌入低频域小波系数中;最后对该算法进行了仿真实验。实验表明该算法对图像的各种常规处理都具有较好的鲁棒性,与邵亚非等人的水印算法相比,该算法在水印容量、不可见性、鲁棒性上有更大的协调性。

关 键 词:数字水印    小波变换    人类视觉系统

Research of image-adaptive watermarking algorithm based on wavelet transform
LIU Tao,XIAO Han.Research of image-adaptive watermarking algorithm based on wavelet transform[J].Application Research of Computers,2010,27(3):1058-1060.
Authors:LIU Tao  XIAO Han
Affiliation:(1.College of Information Engineering, Zhengzhou University, Zhengzhou 450001, China; 2.Dept of Information Technology, Zhengzhou Teachers College, Zhengzhou 450044, China; 3.School of Remote Sensing & Information Engineering, Wuhan University, Wuhan 430079, China)
Abstract:This paper proposed an image-adaptive watermarking algorithm based on wavelet transform. At first, scrambled a digital image used as watermark.Next,decomposed the original image by discrete wavelet transform,and in accordance with the characteristics of human visual system, wavelet decomposition in the low-frequency domain, used methods which average of adjacent domain instead of single wavelet decomposition coefficients to estimate and quantitative,adaptively embedded watermarking in wavelet coefficients of low-frequency domain. At last, the simulation experimental results show that the algorithm for a variety of conventional image processing has good robustness, compare with algorithm of Shao Ya-fei,et al,it has better coordination in watermarking capacity, invisibility, robustness.
Keywords:digital watermarkin  wavelet transform  human visual system
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