An efficient and blind audio watermarking technique in DCT domain

A blind audio watermarking algorithm in Discrete Cosine Transform domain using the relationship among the consecutive groups of samples is proposed in this work. Here, we divided the DCT represented audio signal into equal-sized non-overlapping segments which in turn divided into four non-overlapping consecutive frames. Here, an informative relation between the frames in a segment is maintained to indicate the successful embedding of a watermark i.e. in case of embedding `1' in a segment, make the value of the `difference between the first two frames' higher than the value of the `difference between the last two frames' at a distance of threshold value and we do the opposite if the watermark bit is `0'. Embedding a single watermark bit in multiple segments makes the scheme robust. In this work, the size of frame and the segment entirely depend on the number of watermark bit which helps the proposed scheme to increase the capacity of watermarking. Additionally, in order to maintain security against hackers a secret key permutation is proposed to apply on the watermark message. The experimental result shows that the method provides high robustness against common signal manipulation as well as high capacity without significant perceptual distortion.

[1]  Sen Bai,et al.  A blind audio watermarking algorithm based on FFT coefficients quantization , 2010, 2010 International Conference on Artificial Intelligence and Education (ICAIE).

[2]  Ching-Tang Hsieh,et al.  Blind cepstrum domain audio watermarking based on time energy features , 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).

[3]  Peng Zhang,et al.  A blind audio watermarking algorithm by logarithmic quantization index modulation , 2012, Multimedia Tools and Applications.

[4]  Wenhua Qin,et al.  BCH Code-Based Robust Audio Watermarking Algorithm in the DWT Domain , 2010, 2010 International Conference on Intelligent Computation Technology and Automation.

[5]  Hwai-Tsu Hu,et al.  A Perceptually Adaptive and Retrievable QIM Scheme for Efficient Blind Audio Watermarking , 2012, 2012 International Conference on Information Science and Applications.

[6]  Charfeddine Maha,et al.  DCT Based blind audio watermarking scheme , 2010, 2010 International Conference on Signal Processing and Multimedia Applications (SIGMAP).

[7]  Jiwu Huang,et al.  Efficiently self-synchronized audio watermarking for assured audio data transmission , 2005, IEEE Transactions on Broadcasting.

[8]  Ioannis Pitas,et al.  Robust audio watermarking in the time domain , 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

[9]  Tingting Xu,et al.  Blind Audio Watermarking Scheme for Copyright Protection of Multi-user , 2009, 2009 International Conference on Multimedia Information Networking and Security.

[10]  Yong Wang,et al.  A blind audio watermarking algorithm with self-synchronization , 2002, 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).

[11]  Zhang Li,et al.  Self-synchronization adaptive blind audio watermarking , 2006, 2006 12th International Multi-Media Modelling Conference.

[12]  Di Chang,et al.  A Robust Audio Sonic Watermarking Algorithm Oriented Air Channel , 2011, 2011 International Conference on Computational and Information Sciences.

[13]  Xiang-Yang Wang,et al.  A Novel Synchronization Invariant Audio Watermarking Scheme Based on DWT and DCT , 2006, IEEE Transactions on Signal Processing.

[14]  Mingyu Lu,et al.  A robust digital audio watermarking scheme using wavelet moment invariance , 2011, J. Syst. Softw..