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[1]赵伟,陈仁安,张晓玲,等.基于ICA和DWT的自适应盲水印算法[J].集美大学学报(自然科学版),2012,17(4):310-314.
 ZHAO Wei,CHEN Ren-an,ZHANG Xiao-ling,et al.Adaptive Blind Watermarking Algorithm Based on ICA and DWT[J].Journal of Jimei University,2012,17(4):310-314.
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《集美大学学报(自然科学版)》[ISSN:1007-7405/CN:35-1186/N]

卷:
第17卷
期数:
2012年第4期
页码:
310-314
栏目:
数理科学与信息工程
出版日期:
2012-07-25

文章信息/Info

Title:
Adaptive Blind Watermarking Algorithm Based on ICA and DWT
作者:
赵伟1陈仁安1张晓玲2游荣义3
(1.集美大学诚毅学院,福建 厦门 361021;2.厦门大学通信工程系,福建 厦门 361005;3.集美大学理学院,福建 厦门 361021)
Author(s):
ZHAO Wei1CHEN Ren-an1ZHANG Xiao-ling2YOU Rong-yi3
(1.Chengyi College,Jimei University,Xiamen 361021,China;2.Department of Communication Engineering,Xiamen University,Xiamen 361005,China;3.School of Science,Jimei University,Xiamen 361021,China)
关键词:
数字水印独立分量分析小波变换噪声可见函数
Keywords:
digital watermarkingindependent component analysiswavelet transform noise visibility function
分类号:
-
DOI:
-
文献标志码:
-
摘要:
      为了使数字水印具有较强的鲁棒性和不可见性,提出一种基于独立分量分析(ICA)和离散小波变换(DWT)的自适应鲁棒性盲水印算法.该算法先将载体图像进行小波变换,然后将原始水印进行平铺和置乱,再根据噪声可见函数(NVF)的视觉掩蔽作用,将其自适应地嵌入到载体图像小波变换域的低频系数上,最后利用ICA技术实现了水印盲提取.实验结果表明,该算法的水印不可见性较好,且可抵抗多种常见水印攻击,其中对JPEG压缩、尺度缩放等攻击的鲁棒性较突出,可应用于图像的版权保护
Abstract:
In order to enhance the robustness and invisibility of digital watermarking,a new adaptive watermarking algorithm based on independent component analysis (ICA) and discrete wavelet transform (DWT) is proposed.The algorithm firstly decomposes the image into wavelet domain.Then the watermark is adaptive embedded into its low frequency coefficient,under the visual mask of noise visibility function (NVF),which has been rearranged by tiling extended and scramble before embedded. It realizes blind extraction by ICA.Experimental results show that the algorithm has good transparency and better robustness,especially in JPEG compression and resizing scale attacks.It can be applicable for digital image copyright protection

参考文献/References:

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相似文献/References:

[1]付永钢.基于广义Arnold变换与支持向量机的图像水印算法[J].集美大学学报(自然科学版),2011,16(1):65.
 FU Yong-gang.Image Watermarking Scheme Based on Generalized Arnold Transformand Support Vector Machine[J].Journal of Jimei University,2011,16(4):65.

备注/Memo

备注/Memo:
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更新日期/Last Update: 2014-06-28