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基于DWT-SVD和Arnold变换图像盲水印算法 被引量:2

Blind Watermarking Algorithm for Single Channel Images Based on DWT-SVD and Arnold
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摘要 为进一步提高数字水印系统的性能,提出一种离散小波变换域中基于奇异值分解和Arnold变换的单通道图像盲水印算法。首先对水印信息进行Arnold置乱加密预处理,接着对单通道的载体图像进行二级小波分解,对低频子带LL2进行4×4分块,对每一块进行奇异值分解,根据置乱二值水印信息,选取每块中最大的奇异值通过量化的方法嵌入水印信息。提取水印时不需原始载体图像的参与,更便于实际应用,仿真结果表明,该算法可以检测到完整的水印信息,具有良好的不可见性,对各种攻击具有较强的鲁棒性。 In order to improve the performance of digital watermarking system ,a watermarking algorithm was proposed for signal channel image based on the combination of discrete wavelet transform ,singular value decomposition and Arnold . Firstly ,digital watermarking was pretreated by Arnold .secondly ,to make two-level wavelet decomposition for the single channel image ,the low frequency sub-band LL2 was divided into 4 * 4 blocks ,for each block singular value decomposition , according to the two value watermark scrambling ,each of the largest singular value was selected by quantifying the water-mark information embedding method .It did need the original image when the watermarking was extracted ,so it could be ap-plied in the practice easily .Simulation results showed that the watermarking algorithm has good invisibility and robustness to common attacks and geometric attacks .
出处 《计算机与数字工程》 2015年第11期2035-2039,共5页 Computer & Digital Engineering
基金 衢州市科技计划项目(编号:20121112) 衢州学院师资队伍建设专项经费资助 衢州市115人才工程(编号:衢市联办〔2012〕1号)资助
关键词 ARNOLD 置乱 奇异值分解 低频子带 离散小波变换 数字水印 arnold scrambling singular value decomposition low frequency sub-band discrete wavelet transform digital watermarking
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