Manuscript Number : IJSRST1738126

High Capacity Audio Watermarking Based on Fibonacci Series

Authors(2) :-U. Harikrishna, M. Sreedhar

Watermarking is used to hide secret information for copyright protection of intellectual property from violation. Digital watermarking is process by which a watermark is embedded or hide into media .This paper contains high capacity audio watermarking system to embed the secret information and extract that secret information exactly by changing magnitude of the some frequency samples with minimal average error. Divide the FFT spectrum into small segments and then change magnitude of the frequency sample based on Fibonacci series is the key idea of this scheme. Maximum change for related FFT sample is less than 61% and the 25% is average error of each sample. Capacity, robustness and transparency are regulated by using two parameters frequency band and frame size. Possible to adaptively changing frequency samples and robust, transparent technique can be achieved by using Fibonacci series. Fibonacci series is the key idea for this watermarking technique to implement robust and transparency technique. This method has minimal perceptual distortion and robustness to signal processing attacks and high payload capacity.

Authors and Affiliations

U. Harikrishna
PG Scholar, JNTUA College of Engineering, Anantapuram, Andhra Pradesh, India
M. Sreedhar
Lecturer, JNTUA College of Engineering, Anantapuram, Andhra Pradesh, India

Fibonacci Series, Frequency Spectrum, Audio Watermarking, Remarkable Capacity

  1. H. J. Kim, "Audio watermarking techniques," in Proc. Pacific Rim Workshop Digital Steganogr., 2005, pp. 1-17.
  2. S. Xiang, H. J. Kim, and J. Huang, "Audio watermarking robust against time-scale modification and MP3 compression," Signal Process., vol. 88, no. 10, pp. 2372-2387, Oct. 2008.
  3. M. Mansour and A. Tewfik, "Data embedding in audio using time-scale modification," IEEE Trans. Speech Audio Process., vol. 13, no. 3, pp. 432-440, May 2005.
  4. J. J. Garcia-Hernandez, M. Nakano-Miyatake, and H. Perez-Meana, "Data hiding in audio signal using rational dither modulation," IEICE Electron. Express, vol. 5, no. 7, pp. 217-222, 2008.
  5. M. Fallahpour and D. Meg?as, "High capacity audio watermarking using FFT amplitude interpolation," IEICE Electron. Express, vol. 6, no. 14, pp. 1057-1063, 2009.
  6. M. Fallahpour and D. Meg?as, "High capacity method for real-time audio data hiding using the FFT transform," in Advances in Informa-tion Security and Its Application. Berlin, Germany: Springer-Verlag, 2009, pp. 91-97.
  7. M. Fallahpour and D. Meg?as, "Robust high-capacity audio water-marking based on FFT amplitude modification," IEICE Trans. Inf. Syst., vol. E93-D, no. 01, pp. 87-93, Jan. 2010.
  8. M. Fallahpour and D. Meg?as, "DWT-based high capacity audio wa-termarking," IEICE Trans. Fundam. Electron., Commun. Comput. Sci., vol. E93-A, no. 01, pp. 331-335, Jan. 2010.
  9. W. Li and X. Xue, "Content based localized robust audio watermarking robust against time scale modification," IEEE Trans. Multimedia, vol. 8, no. 1, pp. 60-69, Feb. 2006.
  10. M. Fallahpour and D. Meg?as, "High capacity audio watermarking using the high frequency band of the wavelet domain," in Multimedia Tools and Applications. New York, NY, USA: Springer, 2011, vol. 52, pp. 485-498.
  11. M. Fallahpour and D. Meg?as, "Secure logarithmic audio watermarking scheme based on the human auditory system," Multimedia Syst., 2013, DOI: 10.1007/s00530-013-0325-1, ISSN.0942-4962.
  12. M. Fallahpour and D. Meg?as, "High capacity robust audio water-marking scheme based on FFT and linear regression," Int. J. Innovative Comput., Inf. Control, vol. 8, no. 4, pp. 2477-2489, Apr. 2012.
  13. S. T. Chen, G. D. Wu, and H. N. Huang, "Wavelet-domain audio wa-termarking scheme using optimisation-based quantisation," IET Signal Process., vol. 4, no. 6, pp. 720-727, 2010.
  14. N. K. Kalantari, M. A. Akhaee, M. Ahadi, and H. Amindavar, "Ro-bust multiplicative patchwork method for audio watermarking," IEEE Trans. Audio, Speech, Lang. Process., vol. 17, no. 6, pp. 1133-1141, Aug. 2009.
  15. S. T. Chen, H. N. Huang, C. J. Chen, and G. D. Wu, "Energy-proportion based scheme for audio watermarking," IET Signal Process., vol. 4, no. 5, pp. 576-587, 2010.
  16. "Audio Watermarking Via EMD’’ Kais Khaldi and Abdel- Ouahab Boudraa,? ieee transactions on audio, speech, and language processing, vol. 21, no. 3, march 2013

Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 521-530
Manuscript Number : IJSRST1738126
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

U. Harikrishna, M. Sreedhar, " High Capacity Audio Watermarking Based on Fibonacci Series", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 8, pp.521-530, November-December-2017.
Journal URL : https://ijsrst.com/IJSRST1738126
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