Title: Embedding digital watermark in one-dimensional signals using wavelet and Schur decomposition

Authors: Arashdeep Kaur; Malay Kishore Dutta; K.M. Soni; Nidhi Taneja

Addresses: Amity School of Engineering and Technology, Amity University, Noida, India ' Amity School of Engineering and Technology, Amity University, Noida, India ' Amity School of Engineering and Technology, Amity University, Noida, India ' Indira Gandhi Delhi Technological University for Women (IGDTUW), Delhi, India

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.

Keywords: audio watermarking; wavelet decomposition; digital watermark; high embedding rate; Schur decomposition; information security.

DOI: 10.1504/IJESDF.2017.087396

International Journal of Electronic Security and Digital Forensics, 2017 Vol.9 No.4, pp.362 - 380

Received: 21 Jul 2016
Accepted: 20 Mar 2017

Published online: 25 Sep 2017 *

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