基于提升小波的多重数字音频水印

王让定; 徐达文

基于提升小波的多重数字音频水印

计量
- 文章访问数: 2193
- HTML全文浏览量: 80
- PDF下载量: 1071
- 被引次数: 0
出版历程
- 收稿日期: 2005-01-06
- 修回日期: 2005-06-21
- 刊出日期: 2006-10-19

Multiple Audio Watermarks Based on Lifting Wavelet Transform

摘要

摘要: 该文提出了一种在提升小波域同时嵌入鲁棒水印和易损水印的音频水印算法。原始音频信号经过提升小波变换后，将低频小波系数进行均值量化嵌入鲁棒水印，具有较好的鲁棒性和不可感知性；对高频小波系数直接进行单个系数量化嵌入易损水印，当音频内容发生篡改时，这些水印信息会发生相应的改变，从而可以鉴定原始音频的完整性。水印的提取不需要原始音频信号。实验结果表明，鲁棒水印对MP3压缩、低通滤波、加噪、重量化、重采样等信号处理攻击具有很强的鲁棒性；而易损水印对上述攻击则具有很强的敏感性。
- 多重音频水印; 提升小波变换; 盲检; 鲁棒水印; 易损水印
Abstract: An audio watermarking scheme which embedded robust and fragile watermark at the same time in lifting wavelet domain is presented. Robust watermark is embedded in the low frequency range using mean quantization. It has great robustness and imperceptibility. Fragile watermark is embedded in the high frequency range by quantizating single coefficient, when the audio signal is tampered, the watermark information will change synchronously. So it can be used for audio content integrity verification. The watermark can be extracted without the original digital audio signal. Experimental results show that robust watermark is robust to many attacks, such as MP3 compression, low pass filtering, noise addition, requantization, resampling and so on. Fragile watermark is very sensitive to these attacks.

HTML全文

参考文献(1)

Mintzer F, Braudaway G W. If one watermark is good, are more better[J].Proceeding of 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP99), Phoenix, Arizona, March.1999, 4:2067-2069[2]纪震, 肖薇薇, 王建华, 张基宏. 基于混沌序列的多重数字图像水印算法. 计算机学报, 2003, 26(11): 1555-1561.[3]Wong P H W, Au O C, Yeung Y M. A novel blind multiple watermarking technique for images[J].IEEE Trans. on Circuits and Systems for Video Technology.2003, 13(8):813-830[4]Arnold M, Huang Z W. Blind detection of multiple audio watermarks. Proceedings of First International Conference on Web Delivering of Music, Florence, Italy, 2001: 4-11.[5]Pan J S, Huang H C, Wang F H. A VQ-based robust multi-watermarking algorithm. Proceedings of IEEE Region 10 International Conference on Computers, Communications, Control and Power Engineering, Beijing, Oct. 2002, 1: 117-120.[6]华先胜, 石青云. 多类水印的同时嵌入. 北京大学学报(自然科学版), 2001, 37(3): 305-314.[7]Daubechies I, Sweldens W. Factoring wavelet transforms into lifting steps. Journal of Fourier Analysis and Applications, 1998, 4(3): 245-267.[8]Sweldens W. The lifting scheme: A custom-design construction of biorthogonal wavelets[J].Journal of Applied Computing and Harmonic Analysis.1996, 3(2):186-200[9]Sweldens W, Schroder P. Building your own wavelets at home. Wavelets in Computer Graphics, ACM SIGGRAPH Course Notes, 1996: 15-87.[10]Yu G J, Lu C S, Liao H Y M. Mean quantization-based fragile watermarking for image authentication[J].Optical Engineering.2001, 40(7):1396-1408[11]Yu G J, Lu C S, Liao H Y M, Sheu J P. Mean quantization blind watermarking for image authentication. Proceedings of 2000 International Conference on Image Processing, Vancouver, BC, Canada, IEEE Computer Society, 2000, 3(3): 706-709.[12]Chen L H, Lin J J. Mean quantization based image watermarking[J].Image and Vision Computing.2003, 21(8):717-727[13]Wang R D, Xu D W, Chen J E, Du C T. Digital audio watermarking algorithm based on linear predictive coding in wavelet domain[J].2004 7th International Conference on Signal Processing (ICSP04), Beijing, China.2004, 3:2393-2396

施引文献

资源附件(0)

访问统计