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The development of a desynchronization invariant audio watermarking scheme without degrading acoustical quality is a challenging work. This paper proposes a robust audio watermarking scheme in Empirical Mode Decomposition (EMD) domain, in which the higher-order statistics and synchronization code are utilized. Firstly, the wavelet de-noising is performed on the original host audio, the de-noised digital audio is segmented, and then each segment is cut into two parts. Secondly, with the spatial watermarking technique, synchronization code is embedded into the statistics average value of audio samples in the first part. Thirdly, for the second part, EMD is performed, and a series of Intrinsic Mode Functions (IMFs) and a residual are given, and then the higher-order statistics of residual are obtained by using the Hausdorff distance. Finally, the digital watermark is embedded into the residual in EMD domain by using the higher-order statistics. Simulation results show that the proposed watermarking scheme is not only inaudible and robust against common signal processing operations such as MP3 compression, noise addition,resampling, and re-quantization etc, but also robust against the desynchronization attacks such as random cropping, amplitude variation, pitch shifting, and jittering etc.
Wydawca
Czasopismo
Rocznik
Tom
Strony
467--490
Opis fizyczny
Bibliogr. 29 poz., rys., tab.
Twórcy
autor
- School of Computer and Information Technology, Liaoning Normal University, Dalian, China
- Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology, Nanjing, 210094, P.R.China
autor
- School of Computer and Information Technology, Liaoning Normal University, Dalian, China
autor
- School of Computer and Information Technology, Liaoning Normal University, Dalian, China
autor
- School of Computer and Information Technology, Liaoning Normal University, Dalian, China
autor
- School of Computer and Information Technology, Liaoning Normal University, Dalian, China
Bibliografia
- [1] Sebastiano Battiato, Sabu Emmanuel, Adrian Ulges, and Marcel Worring. Multimedia in forensics, security, and intelligence. IEEE MultiMedia, 19(1):17–19, 2012.
- [2] Iynkaran Natgunanathan, Yong Xiang, Yue Rong, Wanlei Zhou, and Song Guo. Robust patchwork-based embedding and decoding scheme for digital audio watermarking. IEEE Transactions on Audio, Speech, and Language Processing, 20(8):2232–2239, 2012.
- [3] Xinkai Wang, Pengjun Wang, Peng Zhang, Shuzheng Xu, and Huazhong Yang. A norm-space, adaptive, and blind audio watermarking algorithm by discrete wavelet transform. Signal Processing, 93(4):913–922, 2013.
- [4] Michael Arnold, Xiao-Ming Chen, Peter G. Baum, and Gwena¨el J. Doërr. Improving tonality measures for audio watermarking. In Information Hiding - 13th International Conference, IH 2011, Prague, Czech Republic, May 18-20, 2011, volume 6958 of Lecture Notes in Computer Science, pages 223–237, 2011.
- [5] Abbas Cheddad, Joan Condell, Kevin Curran, and Paul McKevitt. Digital image steganography: Survey and analysis of current methods. Signal Processing, 90(3):727–752, 2010.
- [6] Huiqin Wang, Ryouichi Nishimura, Yoiti Suzuki, and Li Mao. Fuzzy self-adaptive digital audio watermarking based on time-spread echo hiding. Applied Acoustics, 69(10):868–874, 2008.
- [7] Yong Xiang, Iynkaran Natgunanathan, Dezhong Peng, Wanlei Zhou, and Shui Yu. A dual-channel timespread echo method for audio watermarking. IEEE Transactions on Information Forensics and Security, 7(2):383–392, 2012.
- [8] Shijun Xiang, Hyoung-Joong Kim, and Jiwu Huang. Audio watermarking robust against time-scale modification and mp3 compression. Signal Processing, 88(10):2372–2387, 2008.
- [9] Yong Wang, Shaoquan Wu, and Jiwu Huang. Audio watermarking scheme robust against desynchronization based on the dyadic wavelet transform. EURASIP Journal on Advances in Signal Processing, 2010:13, 2010.
- [10] Xiangui Kang, Rui Yang, and Jiwu Huang. Geometric invariant audio watermarking based on an lcm feature. IEEE Transactions on Multimedia, 13(2):181–190, 2011.
- [11] Hong-Ying Yang, De wang Bao, Xiangyang Wang, and Panpan Niu. A robust content based audio watermarking using udwt and invariant histogram. Multimedia Tools Applications, 57(3):453–476, 2012.
- [12] Jian Wang, Ron Healy, and Joe Timoney. A robust audio watermarking scheme based on reduced singular value decomposition and distortion removal. Signal Processing, 91(8):1693–1708, 2011.
- [13] Cairong Li, Ruimin Hu, and Wei Zeng. Radon transformand dwt based audio watermarking algorithmagainst da/ad conversion. In Audio, Language and Image Processing (ICALIP), 2012 International Conference on, pages 282–286, 2012.
- [14] Xiaohong Ma, Bo Zhang, and Xiaoyan Ding. Self-synchronization blind audio watermarking based on feature extraction and subsampling. International Symposium on Neural Networks 2007, Lecture Notes in Computer Science 4492, pages 40–46, 2007.
- [15] Hwai-Tsu Hu and Wei-Hsi Chen. A dual cepstrum-based watermarking scheme with self-synchronization. Signal Processing, 92(4):1109–1116, 2012.
- [16] Chi-Man Pun and Jing-Jing Jiang. A novel self-synchroniztion method for audio watermarking. In Computer Graphics, Imaging and Visualization (CGIV), 2011 Eighth International Conference on, pages 114–118, 2011.
- [17] David Megas, Jordi Serra-Ruiz, andMehdi Fallahpour. Efficient self-synchronised blind audio watermarking system based on time domain and FFT amplitude modification. Signal Processing, 90(12):3078–3092, 2010.
- [18] Xiangyang Wang, Wei Qi, and Panpan Niu. A new adaptive digital audio watermarking based on support vector regression. IEEE Transactions on Audio, Speech, and Language Processing, 15(8):2270–2277, 2007.
- [19] Bai Ying Lei, Ing Yann Soon, Feng Zhou, Zhen Li, and Haijun Lei. A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition. Signal Processing, 92(9):1985–2001, 2012.
- [20] Vivekananda Bhat K., Indranil Sengupta, and Abhijit Das. An adaptive audio watermarking based on the singular value decomposition in the wavelet domain. Digital Signal Processing, 20(6):1547–1558, 2010.
- [21] Xiang-Yang Wang and Hong Zhao. A novel synchronization invariant audio watermarking scheme based on DWT and DCT. IEEE Trans. on Signal Processing, 54(12):4835–4840, 2006.
- [22] Ankit Murarka, Anshul Vashist, and Malay Kishore Dutta. A blind watermarking algorithm for audio signals based on singular value decomposition. In Proceedings of the Third International Conference on Trends in Information, Telecommunication and Computing, pages 491–497. Springer, 2013.
- [23] Xiangyang Wang, Pan-Pan Niu, and Mingyu Lu. A robust digital audio watermarking scheme using wavelet moment invariance. Journal of Systems and Software, 84(8):1408–1421, 2011.
- [24] Bai Ying Lei, Ing Yann Soon, and Zhen Li. Blind and robust audio watermarking scheme based on SVD–DCT. Signal Processing, 91(8):1973–1984, 2011.
- [25] Norden E Huang, Zheng Shen, Steven R Long, Manli CWu, Hsing H Shih, Quanan Zheng, Nai-Chyuan Yen, Chi Chao Tung, and Henry H Liu. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 454(1971):903–995, 1998.
- [26] Ning Bi, Qiyu Sun, Daren Huang, Zhihua Yang, and Jiwu Huang. Robust image watermarking based on multiband wavelets and empirical mode decomposition. IEEE Transactions on Image Processing, 16(8):1956–1966, 2007.
- [27] Yali Liu, Ken Chiang, Cherita Corbett, Rennie Archibald, Biswanath Mukherjee, and Dipak Ghosal. A novel audio steganalysis based on high-order statistics of a distortion measure with Hausdorff distance. In Tzong-Chen Wu, Chin-Laung Lei, Vincent Rijmen, and Der-Tsai Lee, editors, Information Security, 11th International Conference, ISC 2008, Taipei, Taiwan, September 15-18, 2008. Proceedings, volume 5222 of Lecture Notes in Computer Science, pages 487–501. Springer, 2008.
- [28] Chih-Cheng Lo, Jeng-Shyang Pan, and Bin-Yih Liao. A HOS-based watermark detector. International Journal of Innovative Computing, Information and Control, 5(2):293–300, 2009.
- [29] Peng jun Zhao. Study on robust audio watermarking algorithms in transform domain. PhD thesis, Southwest Jiaotong University, 2008.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-60f8752f-5a82-4a6b-9350-5d284b0825ea