Embedding digital watermark in one-dimensional signals using wavelet and Schur decomposition
by Arashdeep Kaur; Malay Kishore Dutta; K.M. Soni; Nidhi Taneja
International Journal of Electronic Security and Digital Forensics (IJESDF), Vol. 9, No. 4, 2017

Abstract: An efficient, robust and secure audio watermarking algorithm which can hide large number of watermarking bits without perceptually affecting the quality of the audio signal is presented in this paper. The proposed algorithm has been designed using Schur decomposition of wavelet coefficients to achieve the optimal balance between conflicting design parameters of audio watermarking. Schur decomposition makes the proposed method significantly robust against challenging signal processing attacks and discrete wavelet transform provides a good opportunity for the accommodating very high watermarking payload without affecting the perceptual quality. The choice of these two domains complements each other in addressing the contradictory design requirements of watermarking. Experimental results indicate that this algorithm is highly perceptually transparent and have an excellent subjective audible quality at 480 bps embedding capacity. This algorithm has shown very good robustness to the challenging synchronisation attacks like compression and various signal processing attacks at very high payload without affecting the audible quality of the signal. The computation time of the proposed algorithm is also found to be very less making it suitable for real time applications.

Online publication date: Sat, 14-Oct-2017

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