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基于HVS的小波变换数字图像水印算法
引用本文:武风波,汪峰.基于HVS的小波变换数字图像水印算法[J].应用光学,2014,35(2):254-259.
作者姓名:武风波  汪峰
作者单位:1.西安科技大学 通信与信息工程学院,陕西 西安 710054
基金项目:陕西省教育厅专项科研计划项目(09Jk588)
摘    要:为实现图像水印在数据认证、访问控制和版权保护等领域发挥作用,提出一种人眼视觉感知特性的小波变换数字图像水印算法。首先对二值图像水印进行Arnold变换,并采用行堆叠的方法,转换成一维序列,然后根据密钥生成的高斯序列中值的正负来确定水印信息嵌入时是采用那种调制方式,最后对原始图像进行3级DWT分解,在小波图像的第二层中频子带中,结合人眼视觉特性将水印正向或负向调制叠加在宿主图像大于JND 值的小波系数上。实验结果表明:该算法能抵抗JPEG压缩、加噪、剪切等多种攻击,具有良好的透明性,鲁棒性和安全性。

关 键 词:水印    数字图像    人眼视觉系统    鲁棒性
收稿时间:2013/11/22

Wavelet transform digital image watermarking algorithms based on HVS
WU Feng-bo,WANG Feng.Wavelet transform digital image watermarking algorithms based on HVS[J].Journal of Applied Optics,2014,35(2):254-259.
Authors:WU Feng-bo  WANG Feng
Institution:1.School of Communication and Information Engineering,Xi-an University of Science and Technology,Xi-an 710054,China
Abstract:In order to realize the image watermarking as a function of data authentication, access control and copyright protection, a wavelet transform digital image watermarking algorithm which gave a full consideration to the human eye visual perception characteristics was proposed. First, Arnold transform and the stacking method were performed on the binary image watermarking, which was converted into the one-dimensional sequence; second, the kind of modulation was adopted when embedding the watermark information determined by the positive and negative values of key generation gaussian sequence; and then, the original image was processed with 3-level discrete wavelet transform(DWT) decomposition, on the second floor of the wavelet image intermediate frequency sub-band, combining with the human visual characteristics, the positive or negative modulation of watermarking was superimposed on wavelet coefficients with the host image greater than the just noticeable difference(JND) value. The experimental results show that, the algorithm can resist JPEG compression, plus-noise, shearing and other attacks, and has good transparency, robustness and security.
Keywords:watermarking  digital image  human visual system(HVS)  robustness
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