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Warianty tytułu
Języki publikacji
Abstrakty
In this paper an audio watermarking technique is presented, using log-spectrum, dirty paper codes and LDPC for watermark embedding. This technique may be used as a digital communication channel, transmitting data at about 40 b/s. It may be also applied for hiding a digital signature, e.g., for copyright protection purposes. Robustness of the watermarks against audio signal compression, resampling and transmitting through an acoustic channel is tested.
Rocznik
Tom
Strony
12--21
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
autor
- Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland
autor
- Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland
Bibliografia
- [1] H. Kaur and U. Kaur, “Blind audio watermarking schemes: a literature review”, IRACST – Engin. Sci. Technol. an Int. J. (ESTIJ), vol. 3, no. 2, pp. 288–295, 2013.
- [2] S. Xiang, “Audio watermarking robust against D/A and A/D conversions”, EURASIP J. Adv. Signal Proces., vol. 2011:3, 2011.
- [3] C. Baras, N. Moreau, and P. Dymarski, “Controlling the inaudibility and maximizing the robustness in an audio data hiding system”, IEEE Trans. Audio, Speech Lang. Proces.,vol. 14, no. 5, pp. 1772–1782, 2006.
- [4] D. Megias, J. Serra-Riuz, and M. Fallahpour, “Efficient selfsynchronized blind audio watermarking system based on time domain and FFT amplitude modification”, Sig. Proces., vol. 90, no. 12, pp. 3078–3092, 2010.
- [5] R. Tachibana, S. Shimizu, T. Nakamura, and S. Kobayashi, “An audio watermarking method robust against time- and frequency fluctuation”, in Proc. SPIE Int. Conf. Secur. Watermark. Multim. Contents. III, San Jose, USA, 2001, vol. 4314, pp. 104–115.
- [6] X. Wang, P. Wang, P. Zhang, S. Xu, and H. Yang, “A normspace, adaptive, and blind audio watermarking algorithm by discrete wavelet transform”, Sig. Proces., vol. 93, pp. 913–922, 2013.
- [7] B. Y. Lei, I. Y. Soon, and Z. Li, “Blind and robust audio watermarking scheme based on SVD-DCT”, Sig. Proces., vol. 91, pp. 1973–1984, 2011.
- [8] P. Gajewski, J. Łopatka, and Z. Piotrowski, “A new method of frequency correction using coherent averaging”, J. Telecommun. Inform. Technol., no. 1, pp. 142–146, 2005.
- [9] Z. Piotrowski, “Drift correction modulation scheme for digital audio watermarking”, in Proc. Int. Conf. Multim. Inform. Netw. Secur. MINES 2010, Nanjing, China, 2010, pp. 392–397.
- [10] P. Dymarski, R. Markiewicz, and A. Kopertowska, “Sygnatury cyfrowe sygnałów fonicznych”, Krajowe Sympozjum Telekomunikacji i Teleinformatyki, Gdańsk, Poland, Telecom. Rev. and Telecom. News, vol. 86, no. 8–9, pp. 650–656, 1013 (in Polish).
- [11] P. Dymarski and R. Markiewicz, “Time and sampling frequency offset correction in audio watermarking”, in Proc. 18th Int. Conf. Syst. Sig. Image Proces. IWSSIP 2011, Sarajevo, Bosnia and Herzegovina, 2011.
- [12] P. Dymarski, “Watermarking of audio signals using adaptive subband filtering and Manchester signaling”, Proc. 14th Int. Conf. Syst. Sig. Image Proces. IWSSIP 2007, Maribor, Slovenia, 2007.
- [13] P. Dymarski and R. Markiewicz, “Informed algorithms for watermark and synchronization signal embedding in audio signal”, in Proc. 20th Eur. Sig. Proces. Conf. EUSIPCO 2012, Bucharest, Romania, 2012, pp. 2699–2703.
- [14] P. Dymarski and R. Markiewicz: “Audio watermarking in frequency domain using Walsh functions and LDPC codes”, in Proc. Int. Conf. Sys. Sig. Image Proces. IWSSIP 2013, Bucharest, Romania, 2013, pp. 155–158.
- [15] “Coding of moving pictures and associated audio for digital storage media at up to about 1.5 Mbit/s”, Part 3: Audio, ISO/IEC Standard IS 11172-3 Information technology, 1993.
- [16] “Method for Objective Measurements of Perceived Audio Quality (PEAQ)”, ITU-R Rec. BS 1387, 1998.
- [17] Y. Zhao, W. Yang, D. Chang, and W. Guo, “A robust audio sonic watermarking algorithm oriented air channel”, in Proc. Int. Conf. Comp. Inform. Sci. ICCIS 2011, Chengdu, China, 2011, pp. 53–57.
- [18] M. H. M. Costa, “Writing on dirty paper”, IEEE Trans. Inf. Theory, vol. IT-29, no. 3, pp. 439–441, 1983.
- [19] M. L. Miller, G. J. Doerr, and I. J. Cox, “Applying informed coding and embedding to design a robust high capacity watermark”, IEEE Trans. Image Proces., vol. 13, no. 6, pp.792–807, 2004.
- [20] A. Abrardo and M. Barni, “Informed watermarking by means of orthogonal and quasi-orthogonal dirty paper coding”, IEEE Trans. Sig. Proces., vol. 53, no. 2, pp. 824–833, 2005.
- [21] R. Gallager, “Low density parity-check codes”, IRE Trans. Inform. Theory, vol. 8, no. 1, pp. 21–28, 1962.
- [22] K. G. Beauchamp, Walsh Functions and Their Applications. London: Academic Press, 1975.
- [23] “LDPC Code”, Feb. 2014 [Online]. Available: https://sites.google.com/site/bsnugroho/ldpc/
- [24] M. Sliskovic, “Sampling frequency offset estimation and correction in OFDM systems”, in Proc. 8th IEEE Int. Conf. Elec., Circ. Syst. ICECS 2001, Malta, 2001, vol. 3, pp. 437–440.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a013836e-317e-4e76-a8ea-658da4ac9079