| 结合图像属性的MSD-FICA盲水印算法 |
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| 引用本文： | 刘金华,佘堃,王文旻. 结合图像属性的MSD-FICA盲水印算法[J]. 电子科技大学学报(社会科学版), 2009, 0(4) |
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| 作者姓名： | 刘金华 佘堃 王文旻 |
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| 作者单位： | 电子科技大学计算机科学与工程学院; |
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| 基金项目： | 四川省科技攻关项目(Y02001010601011) |
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| 摘 要： | 基于图像高频子分量相互独立的属性,再结合图像低频能量不易丢失的特点,该文设计了多分辨率子带分解的快速独立分量分析(MSD-FICA)盲水印算法,借鉴了经典的量化调制水印(QIM)算法思想,对原始图像小波分解后的高频成分(水平、垂直、对角小波系数)进行排序,取中频成分。嵌入水印是对中频分量系数和低频分量系数同时嵌入,水印的提取采用快速独立分量分析(FICA)算法,先用主成分分析进行预处理,然后用FICA盲提取水印。实验表明,该算法能有效地提取出水印,并能抵抗一定的压缩、滤波、噪声攻击。
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| 关 键 词： | 盲水印算法 数字水印 图像属性 小波 |
Using MSD-FICA and Combine with Image Property for a Blind Watermarking Algorithm |
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| LIU Jin-hua,SHE Kun,, WANG Wen-min. Using MSD-FICA and Combine with Image Property for a Blind Watermarking Algorithm[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2009, 0(4) |
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| Authors: | LIU Jin-hua SHE Kun WANG Wen-min |
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| Affiliation: | School of Computer Science and Engineering;University of Electronic Science and Technology of China Chengdu 610054 |
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| Abstract: | A blind image watermarking algorithm based on the multiresolution sub-band decomposition-fast independent component analysis (MSD-FICA) is proposed. In this scheme, the watermark bits are embedded in the middle-frequency components and the low-frequency components simultaneously. The middle-frequency components are selected by adopting the sorting scheme among the high-frequency components. In watermarking extraction, primary component analysis (PCA) is applied for preprocess, then the watermark is extracte... |
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| Keywords: | blind watermarking algorithm digital watermarking image property wavelets |
| 本文献已被 CNKI 等数据库收录！ |
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