Penyisipan Data Dengan Teknik Gabungan LWT-DST Dan Compressive Sampling Pada Steganografi Audio Stereo

Authors

  • Niken Salma Nabila Telkom University
  • Bambang Hidayat Telkom University
  • Gelar Budiman Telkom University

Keywords:

Steganografi Audio Stereo, Lifting Wavelet Transform, Discrete Sine Transform, Compressive Sampling

Abstract

Proses embedding dalam steganografi audio stereo didefinisikan sebagai penyembunyian informasi dalam host audio stereo yang menghasilkan stego audio. Dalam jurnal ini, LWT-DST pada steganografi audio stereo diproses dengan menggunakan akuisisi Compressive Sampling (CS). Pertama, dilakukan teknik Lifting Wavelet Transform (LWT) pada host audio. Lalu, kita pilih satu sub-band dari hasil proses sebelumnya yang akan dilakukan teknik Discrete Sine Transform (DST) untuk mengubah sinyal dari domain waktu ke domain frekuensi. Sebelum proses penyisipan, akuisisi Compressive Sampling (CS) diaplikasikan pada pesan rahasia. Menurut penggunaan teknik gabungan tersebut diharapkan transparansi bisa menjadi baik dengan SNR > 25, ODG > -1, dan BER 5%.

Downloads

Download data is not yet available.

References

Tao, Z., Zhao, H., Wu, J., Gu, J., Xu, Y., & Wu, D. A Lifting Wavelet Domain Audio Watermarking Algorithm Based on the Statistical Characteristics of Sub-Band Coefficients. Archives of Acoustics, 35(4), 481–491. 2010.

Xuesongl, C., Haiman, C., & Fenglee, W. A Dual Digital Audio Watermarking Algorithm Based on LWT, (Mic), 721–725. 2012.

Aparna J R, & Ayyappan, S. Comparison of digital watermarking techniques. International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC), 87–92. 2014.

Xuesongl, Chen, Haiman, Chen, Fenglee, Wang. A Dual Digital Audio Watermarking Algorithm Based on LWT. International Conference on Measurement, Information and Control (MIC). Mic: 721-725. 2012.

Madhukar, B. N., Sanjay J. A Duality Theorem for the Discrete Sine Transform (DST). International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT). 2015.

Candès, E. J, Wakin, M B. An Introduction to Compressive Sampling. IEEE Signal Processing Magazine. 2008.

Bo Wu. Research of Audio Information Hiding System Based on Chaos and Lifting Wavelet Transform. SiChuan: 2009.

K. R. Rao, and P. Yip, “Discrete Cosine Transform – Algorithms, Advantages, and Applications,” 1st Edition, Academic Press, Inc, San Diego, 1990.

Anil. K. Jain, “Fundamentals of Digital Image Processing”, Prentice Hall of India Private Limited, New Delhi, 1989.

Davenport, M. a, Duarte, M. F. M., Eldar, Y. C. Y., & Kutyniok, G. Introduction to compressed sensing. Preprint, 93, 1–68. 2011.

X. W. X. Wen, X. D. X. Ding, J. L. J. Li, L. G. L. Gao, and H. S. H. Sun, “An Audio Watermarking Algorithm Based on Fast Fourier Transform”, Int. Conf. Inf. Manag. Innov. Manag. Ind. Eng., vol. 1, pp. 363–366, 2009.

Published

18-01-2018

How to Cite

[1]
N. S. Nabila, B. Hidayat, and G. Budiman, “Penyisipan Data Dengan Teknik Gabungan LWT-DST Dan Compressive Sampling Pada Steganografi Audio Stereo”, SENTER, pp. 55–61, Jan. 2018.

Viewed

Abstract 176 times
PDF (Bahasa Indonesia) 167 times