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彩色图像DWT变换下的块SVD零水印
引用本文:潘黄琼,陈光喜,丁勇,李峰. 彩色图像DWT变换下的块SVD零水印[J]. 微电子学与计算机, 2012, 29(5): 50-53
作者姓名:潘黄琼  陈光喜  丁勇  李峰
作者单位:桂林电子科技大学数学与计算科学学院,广西桂林,541004
基金项目:国家自然科学基金项目,广西教育厅基金项目,广西学位与研究生教育改革和发展专项课题
摘    要:为了提高水印技术的鲁棒性,提出了彩色图像离散小波变换(DWT)下的块奇异值分解(SVD)的零水印.首先对原始载体图像进行离散小波变换,然后选择低频子带进行分块,且对每一块进行奇异值分解,水印则由分解得到的最大前m个奇异值产生.实验结果表明,算法对各种攻击有较强的鲁棒性.

关 键 词:奇异值分解  离散小波变换  零水印  鲁棒性

A Zero-watermarking Algorithm of Color Image Based on SVD and DWT
PAN Huang-qiong,CHEN Guang-xi,DING Yong,LI Feng. A Zero-watermarking Algorithm of Color Image Based on SVD and DWT[J]. Microelectronics & Computer, 2012, 29(5): 50-53
Authors:PAN Huang-qiong  CHEN Guang-xi  DING Yong  LI Feng
Affiliation:(School of Mathematics and Computing Science,Guilin University of Electronic Technology,Guilin 541004,China)
Abstract:In order to enhance the robustness of watermark technology,a zero-watermark is proposed based on color image using block singular value decomposition(SVD) under the discrete wavelet transformation(DWT).It conducts DWT with the original image,divides its low frequency band into blocks,and conducts SVD with every block.Zero-watermark is generated by the decomposition of the former largest singular values of mof the block matrix.Experiments show that the proposed algorithm has strong robustness against various attacks.
Keywords:singular value decompositiom discrete wavelet transformatiom zero-watermark~ robustness
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