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一种新的大容量数字音频水印嵌入算法 被引量:1

New Large-Capacity Digital Audio Watermarking Algorithm
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摘要 提出了一种新的大容量数字音频水印嵌入算法.该算法具有以下特点:(1)以整型小波变换为基础,不仅降低了舍入误差,而且提高了音频水印的嵌入与检测速度;(2)采纳分段变换及整体修改策略,增强了数字水印嵌入的稳定性;(3)以灰度图像作为数字水印,不仅数据容量大,而且更具层次感和多样性;(4)以保证不可感知性和鲁棒性的良好平衡为前提,实现了数字水印的盲检测.仿真实验表明:所提出的算法不仅具有较好的不可感知性,而且对诸如重新采样、重新量化、低通滤波、MP3压缩、叠加噪声等攻击均具有较好的鲁棒性. In this paper, a new large-capacity digital audio watermarking algorithm based on integer wavelet transform is presented, in which the gray image can be embedded into the host audio signal. The features of the proposed algorithm are as follows: (1) Integer wavelet transform theory is utilized to solve rounder-off error problem and to low computation complexity. (2) The strategy of segment transform and the whole wavelet coefficients modification is adopted to improve the robustness of the digital watermark. (3) The gray image is embedded to enlarge the watermark volume. (4) The algorithm can extract the watermark without the help from the original digital audio signal . Experimental results show that the proposed watermarking scheme is inaudible and robust against various signal processing such as re-sampling, re-quantifying, low pass filtering, MP3 compression, and noising adding.
出处 《小型微型计算机系统》 CSCD 北大核心 2006年第10期1914-1917,共4页 Journal of Chinese Computer Systems
基金 视觉与听觉信息处理国家重点实验室开放基金(0503)资助 辽宁省自然科学基金(20032100)资助
关键词 音频水印 灰度图像 整型小波变换 鲁棒性 digital audio watermarking gray image integer wavelet transform robustness
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参考文献11

  • 1Cox I J,Miller M I.The first 50 years of electronic watermarking[J].Journal of Applied Signal Processing,2002,56(2):126-132.
  • 2Kim H J.Audio watermarking techniques[R].Pacific Rim Workshop on Digital Steganography,Kyushu Institute of Technology,Kitakyushu,Japan,July 3-4,2003.
  • 3Huang Ji-wu,Wang Yong,Shi Y Q.A blind audio watermarking algorithm with self-synchronization[C].In:Proceedings of IEEE International Symposium on Circuits and System,Arizona,USA,2002,3:627-630.
  • 4Wang Qiu-sheng,Sun Sheng-he.A new digital audio watermarking algorithm[J].Acta Acustica,2000,26(5):464-467.
  • 5Yeo Kwon,Kim H J.Modified patchwork algorithm:a novel audio watermarking scheme[J].IEEE Transactions on Speech and Audio Processing,2003,11(6):381-386.
  • 6Megías D,Herrera-joancomartí J,Minguillón J.A robust audio watermarking scheme based on MPEG 1 layer 3 compression[M].Communications and Multimedia Security-CMS 2003,LNCS 963:226-238,Springer-Verlag,2003.
  • 7吴绍权,黄继武,黄达人.基于小波变换的自同步音频水印算法[J].计算机学报,2004,27(3):365-370. 被引量:67
  • 8王向阳,杨红颖.基于离散余弦变换的自适应数字音频水印技术研究[J].小型微型计算机系统,2004,25(10):1825-1827. 被引量:20
  • 9Wang Xiang-yang,Yang Hong-ying.A new content-based digital audio watermarking algorithm for copyright protection[C].In:Proceedings of 2004 International Conference on Information Security,Shanghai,China,2004,62-69,ACM Press ISBN:1-58113-995-1.
  • 10Daubechies I,Sweldens W.Factoring wavelet transforms into lifting steps[J].J.Fourier Anal.Appl.,1998,4(3):245-267.

二级参考文献37

  • 1[1]Zhu, W.W., Xiong, Z.X., Zhang, Y.Q. Multiresolution watermarking for image and video. IEEE Transactions on Circuits and Systems for Technology, 1999,9(4):545~549.
  • 2[2]Wang, H-J.M, Su, P-C., Kuo, C-C.J. Wavelet-Based digital image watermarking. Optics Express, 1998,3(12):491~496.
  • 3[3]Swanson, M., Kobayashi, M., Tewfik, A. Multimedia data embedding and watermarking technologies. Proceedings of the IEEE, 1998,86(6):1064~1087.
  • 4[4]Wolfgang, R., Podilchuk, C., Delp, E. Perpetual watermarks for digital images and video. Proceedings of the IEEE, 1999,87(7): 1108~1126.
  • 5[5]Delaigle, J., Vleechouwer, C., Macq, B. Watermarking algorithm based on a human visual model. Signal Processing, 1998,66(3): 319~335.
  • 6[6]Podilchuk, C., Zeng, W. Image-Adaptive watermarking using visual models. IEEE Journal of Selected Areas on Communications, 1998,16(4):525~539.
  • 7[7]Shapiro, J. M. Embedded image coding using zerotrees of wavelet coefficients. IEEE Transactions on Signal Processing, 1993, 41(12):3445~3462.
  • 8[8]Zou, H., Tewfik, H. Discrete orthogonal M-Band wavelet decompositions. In: Proceedings of the IEEE 1992 International Conferences on Accoustics, Speech, and Signal Processing. San Francisco: IEEE Signal Processing Society, 1992. 605~ 608.
  • 9[9]Mallat, S., Zhong, S. Characterization of signals form multiscale edges. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(7):710~732.
  • 10[10]Cox, J., Killian, J., Leighton, T., et al. Secure spread spectrum watermarking for multimedia. IEEE Transactions on Image Processing, 1997,6(12):1673~1687.

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