Audio Watermarking Combined with Compressive Sampling Based on QIM and DST-QR Techniques

       Irma Safitri, Gelar Budiman, Arfidianti Kartika Meiza Putri

Abstract


Abuse is not only done to copy or distribute data but also to the digital copyright labels. There is a way to protect data by inserting or hiding a piece of certain information, namely a watermarking technique. In this paper, we propose audio watermarking with Quantization Index Modulation (QIM) method as an embedding process combined with Compressive Sampling (CS), Discrete Sine Transform (DST) and QR decomposition. Binary image is used as a watermark inserted in host audio. DST is used for transformation process from time domain to frequency domain, while QR is used to decompose onedimension matrix into two-dimension matrix. Meanwhile, CS is used to obtain the compressed watermark file which is done before the embedding process. QIM method is used to embed the watermark file to the audio host file. Simulation results indicated that the proposed audio watermarking technique has good robustness against some attacks such as Low Pass Filter (LPF), resampling and linear speed change. In addition, it provides good performance in terms of imperceptibility with Signal to Noise Ratio (SNR) > 20 dB and capacity C = 689 bps.

  http://dx.doi.org/10.14203/jet.v19.20-25

Keywords


audio watermarking; quantization index modulation; discrete sine transform; QR; compressive sampling

Full Text:

  PDF

References


F. Hartung, and M. Kutter, “Multimedia watermarking techniques,” Proc. IEEE, vol. 87, no. 7, pp. 1079- 1107, 1999. Crossref

N. Cvejic, and T. Seppänen, in Digital Audio Watermarking Techniques and Technologies : Applications and Benchmarks. USA: Information Science Reference, 2008. Crossref

N. Khademi, M. A. Akhaee, S. M. Ahadi, M. Moradi, and A. Kashi, “Audio watermarking based on quantization index modulation in the frequency domain,” in Proc. 2007 IEEE Int. Conf. Signal Process. Commun., 2007, pp. 1127–1130. Crossref

F. Chaabane, M. Charfeddine, W. Puech, C. Ben-Amar, “A QR-code based audio watermarking technique for tracing traitors,” in Proc. European Signal Process. Conf., 2015, pp. 51–55. Crossref

V. K. Bhat , I. Sengupta, and A. Das, “Audio watermarking based on mean quantization in cepstrum domain,”in Proc. 2008 16th Int. Conf. Adv. Comput. Commun., 2008, pp. 73–77. Crossref

H. Yassine, B. Bachir, and K. Aziz, “A secure and high robust audio watermarking system for copyright protection,” Int. J. Comput. Appl., vol. 53, no. 17, pp. 33–39, 2012. Crossref

G. Budiman, A. B. Suksmono, D. Danudirdjo, “FFT-based audio watermarking in adaptive subband with spread spectrum framework,” 2nd Advanced Research Elect. Electron. Eng. Technology, 2017, pp. 3-8.

G. Budiman, A. B. Suksmono, D. H. Shin, “A Multicarrier modulation audio watermarking system,” in Proc. Int. Conf. Elec. Eng. Informatics, 2015, pp. 154–160. Crossref

G. Budiman, A. B. Suksmono, D. Danudirdjo, K. Usman, D. H. Shin, “A modified multicarrier modulation binary data embedding in audio file,” Int. J. Elec. Eng. Informatics, vol. 8, no. 4, pp. 762–773, 2016. Crossref

G. Budiman, A. B. Suksmono, D. Danudirdjo, “Fibonacci sequence based FFT and DCT performance comparison in audio watermarking,” Int. J. Eng. Tech.., vol. 8, no. 19, pp. 1–6, 2019.

Q. Lyu, Z. Lin, et al., “A Comparison of typical Lp minimization algorithms,” Neurocomputing, vol. 119, pp. 413-424, 2013. Crossref

A. B. Suksmono, "Progress in applied compressive sampling: a brief review on methods and devices," in Proc. 2016 10th Int. Conf. Telecommun. Syst. Services Applicat., Denpasar, 2016, pp. 1-4. Crossref

H. Haider, J. A. Shah, U. Ali, “Comparative analysis of sparse signal recovery algorithms based on minimization norms” in Proc. 2014 World Congr. Sustainable Technologies, 2014. Crossref

B. Chen and G. W. Wornell, “Quantization index modulation: A class of provably good methods for digital watermarking and information embedding,” IEEE Trans. Inf. Theory, vol. 47, no. 4, pp. 1423–1443, 2001. Crossref

C. C. Tseng, S. Lee, “Closed-form design of FIR frequency selective filter using discrete sine transform,” in Proc. 2016 IEEE Asia Pacific Conf. Circuits Syst., 2017, pp. 591–594. Crossref


Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM

Refbacks

  • There are currently no refbacks.




Copyright (c) 2019 Jurnal Elektronika dan Telekomunikasi

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.