International Journal of
Computer Sciences and Engineering

Scholarly, Peer-Reviewed and Fully Refereed Academic Research Journal

Flash News 

Full paper submission has now been opened for August edition. You can upload your full paper using the required templates to the Online Submission System. Deadline for uploading the full papers is 22 August 2018.

Robust Audio Watermarking using Improved DWT-SVD approach
Open Access   Article

Robust Audio Watermarking using Improved DWT-SVD approach
Krunalkumar N. Patel1 , Dipti B Shah2
1 Dept. of Computer Science and Technology, Sardar Patel University, Vallabh Vidyanagar, India.
2 Dept. of Computer Science and Technology, Sardar Patel University, Vallabh Vidyanagar, India .
Correspondence should be addressed to: knpatel@mbict.ac.in .

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-9 , Page no. 68-73, Sep-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i9.6873

Online published on Sep 30, 2017

Copyright © Krunalkumar N. Patel, Dipti B Shah . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 
View this paper at   Google Scholar | DPI Digital Library
  XML View PDF Download  
Citation

IEEE Style Citation: Krunalkumar N. Patel, Dipti B Shah, “Robust Audio Watermarking using Improved DWT-SVD approach”, International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.68-73, 2017.

MLA Style Citation: Krunalkumar N. Patel, Dipti B Shah "Robust Audio Watermarking using Improved DWT-SVD approach." International Journal of Computer Sciences and Engineering 5.9 (2017): 68-73.

APA Style Citation: Krunalkumar N. Patel, Dipti B Shah, (2017). Robust Audio Watermarking using Improved DWT-SVD approach. International Journal of Computer Sciences and Engineering, 5(9), 68-73.
VIEWS PDF XML
154 97 downloads 27 downloads
  
  
           
Abstract :
Digital watermarking is the technique with the use of that owner’s copyright information can be embedded into the original media either it is in the form of an image, audio or video. It is an essential to maintain the ownership for digital media in sharing of the information. For this audio watermarking is one of the most likely medium to maintain the robustness as well as imperceptibility against the piracy, malicious attacks, and various transformation operations. Though there are some challenges to achieve this results, in this paper, our proposed audio watermarking technique is used to improve the robustness, imperceptibility and accuracy of the information with security. For robustness, in our proposed work we are using synchronized secret key concept and two important transformation methods used are DWT (Discreet Wavelet Transformation) up to 2-level in which the modifications are done in low frequency sub-band and SVD (Singular value Decomposition), so that original audio file does not have any impact of watermark bits to get the better performance. Also, there are more efficient results are presented as per robustness value calculated in this paper with compare to previous work done.
Key-Words / Index Term :
Audio watermarking,DWT,SVD,watermark embedding and extraction, robustness, imperceptibilty, SNR, IDWT, D-matrix Formation.
References :
[1] H. J. Kim, Y. H. Choi, J. W. Seok, and J. W. Hong, Audio watermarking techniques, ser. Innovative Intelligence. World Scientific Publishing Co., 2004, vol. 7 (Intelligent Watermarking Techniques), ch. 8, pp. 185–218.
[2] N.F. Johnson, S. Jajodia, and Z. Duric, Information hiding: Steganography and watermarking attacks and countermeasures, Kluwer academic Publishers, 2000.
[3] M. Navneet Kumar, “Watermarking Using Decimal Sequences,” M.S. thesis, Louisiana State University, Baton Rouge, LA, USA, 2004.
[4] Arnold, M., Schmucker, M. and Wolthusen, S.D. (2002) Techniques and Applications of Digital Watermarking and Content Protection. Artech House, Norwood.
[5] Yamamoto, K. and Iwakiri, M. (2010) Real-Time Audio Watermarking Based on Characteristics of PCM in Digital Instrument. Journal of Information Hiding and Multimedia Signal Processing, 1, 59-71.
[6] Natgunanathan, I., Xiang, Y., Rong, Y., Zhou, W. and Guo, S. (2012) Robust Patchwork-Based Embedding and Decoding Scheme for Digital Audio Watermarking. IEEE Transactions on Audio, Speech, and Language Processing, 20, 2232-2239.
[7] Noriega, R.M., Nakano, M., Kurkoski, B. and Yamaguchi, K. (2011) High Payload Audio Watermarking: Toward Channel Characterization of MP3 Compression. Journal of Information Hiding and Multimedia Signal Processing, 2, 91-107.
[8] Khushbu and Deepinder Kaur, "Enhancement in Watermarking Approach Using DCT-DWT-SVD Techniques by Applying Kalman Filter", International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.50-53, 2016.
[9] Shahriar, M.R., Cho, S. and Chong, U.P. (2012) Time-Domain Audio Watermarking using Multiple Marking Spaces. Proceedings of the International Conference on Informatics, Electronics and Vision (ICIEV12), Dhaka, 974-979.
[10] Shobha Elizabeth Rajan, Sreedevi P, "Enhancing Visual Cryptography Using Digital Watermarking", International Journal of Computer Sciences and Engineering, Vol.3, Issue.7, pp.152-156, 2015.
[11] Shore, S., Ismail, M., Zainal, N. and Shokri, A. (2013) Error Probability in Spread Spectrum (SS) Audio Watermarking. Proceedings of 2013 IEEE International Conference on Space Science and Communication (IconSpace), Melaka, 1-3 July 2013, 169-173.
[12] Pahlavani, F. and Pourmohammad, A. (2013) A Block Set Interpolation Technique Based Additive-White-Noise Robust Audio Watermarking Method. Proceedings of 2013 10th International ISC Conference on Information Security and Cryptology (ISCISC), Yazd, 29-30 August 2013, 1-5.
[13] Ai, H., Liu, Q. and Jiang, X. (2013) Synchronization Audio Watermarking Algorithm Based on DCT and DWT. Proceedings of IEEE Conference Anthology, Shanghai, 1-8 January 2013, 1-4.
[14] Can, Y.S. and Alagoz, F. (2013) Robust Frequency Hopping and Direct Sequence Spread Spectrum Audio Watermarking Technique on Wavelet Domain. Proceedings of 2013 International Conference on Electronics, Computer and Computation (ICECCO), Ankara, 7-9 November 2013, 382-385.
[15] Dhar, P.K. and Shimamura, T. (2013) Entropy-Based Audio Watermarking Using Singular Value Decomposition and Log-Polar Transformation. Proceedings of 2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS), Columbus, 4-7 August 2013, 1224-1227.
[16] Shahriar, M.R., Cho, S. and Chong, U. (2012) Time-Domain Audio Watermarking Using Multiple Marking Spaces. Proceedings of 2012 International Conference on Informatics, Electronics & Vision (ICIEV), Dhaka, 18-19 May 2012, 974-979.
[17] Kanchan Thakur, "Hybrid DWT, FFT and SVD based Watermarking Technique for Different wavelet Transforms", International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.1, pp.7-12, 2017.
[18] M. Jamal, S. Mudassar, F. S. Mehmood, M. R. Rehman, "Improved Consistency of Digital Image Watermarking Using RDWT and SVD", International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.3, pp.104-106, 2017.
[19] Cox, I.J., Kilian, J., Leighton, T. and Shamoon, T. (1997) Secure Spread Spectrum Watermarking for Multimedia. IEEE Transactions on Image Processing, 6, 1673-1687
[20] Uludag, U. and Arslan, L. (2001) Audio Watermarking Using DC-Level Shifting. Project Report, Bogazici University, Istanbul.
[21] Swanson, M.D., Zhu, B., Tewfik, A.H. and Boney, L. (1998) Robust Audio Watermarking Using Perceptual Masking. Signal Processing, 66, 337-355.
[22] Sehirli, M., Gurgen, F. and Ikizoglu, S. (2005) Performance Evaluation of Digital Audio Watermarking Techniques Designed in Time, Frequency and Cepstrum Domains. Proceedings of International Conference on Advances in Information Systems (ADVIS’04), Izmir, 20-22 October 2004, 430-440.
[23] Al-Yaman, M.S., Al-Taee, M.A. and Alshammas, H.A. (2012) Audio-Watermarking Based Ownership Verification System Using Enhanced DWT-SVD Technique. Proceedings of the 9th International Multi-Conference on Systems, Signals and Devices (SSD’12), Chemnitz, 20-23 March 2012, 1-5.
[24] Bender, W., Gruhl, D., Morimoto, N. and Lu, A. (1996) Techniques for Data Hiding. IBM Systems Journal, 35, 313- 336.
[25] Al-Haj, A. and Mohammad, A. (2010) Digital Audio Watermarking Based on the Discrete Wavelets Transform and Singular Value Decomposition. European Journal of Scientific Research, 39, 6-21.
[26] Al-Haj, A., Mohammad, A. and Bata, L. (2011) DWT-Based Audio Watermarking. The International Arab Journal of Information Technology, 8, 326-333.
[27] Al-Yaman, M.S., Al-Taee, M.A., Shahrour, A.T. and Al-Husseini, I.A. (2011) Biometric Based Audio Ownership Verification Using Discrete Wavelet Transform and SVD Techniques. Proceedings of the 8th International Multi- Conference on Systems, Signals and Devices (SSD’11), Sousse, 22-25 March 2011, 1-5.
[28] Khalid A. Darabkh, Imperceptible and Robust DWT-SVD-Based Digital Audio Watermarking Algorithm, Journal of Software Engineering and Applications, 2014, 7, 859-871.
[29] A. B. Watson, “Image Compression Using the Discrete Cosine Transform,” Mathematical Journal, vol. 4(1), pp. 81-88, 1994.
[30] S. Katzenbeisser, and F.A.P. Petitcolas, Information hiding techniques for steganography and digital watermarking, Artech House Publishers, 2000.
[31] Al-Yaman, M.S., Al-Taee, M.A. and Alshammas, H.A. (2012) Audio-Watermarking Based Ownership Verification System Using Enhanced DWT-SVD Technique. Proceedings of the 9th International Multi-Conference on Systems, Signals and Devices (SSD’12), Chemnitz, 20-23 March 2012, 1-5.