Hybrid DWT-SVD audio watermarking

Audio watermarking is a relatively new technology that aims to embed copyright information in audio signals as a proof of their ownership. The driving force behind this technology has been the ever-increasing illegal manipulation of genuine audio products released by the music industry. In this paper, we propose an effective, robust, and inaudible audio watermarking algorithm. The effectiveness of algorithm has been brought by virtue of applying a cascade of two powerful mathematical transforms; the discrete wavelets transform (DWT) and the singular value decomposition (SVD). Reported experimental results demonstrate the effectiveness of the proposed algorithm.

[1]  Tieniu Tan,et al.  An SVD-based watermarking scheme for protecting rightful ownership , 2002, IEEE Trans. Multim..

[2]  Hyoung Joong Kim,et al.  Modified Patchwork Algorithm: a novel audio watermarking scheme , 2001, Proceedings International Conference on Information Technology: Coding and Computing.

[3]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  G..  A Theory for Multiresolution Signal Decomposition : The Wavelet Representation , 2004 .

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

[6]  Michael Arnold.  Audio watermarking: features, applications and algorithms , 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

[7]  Thomas Sporer,et al.  PEAQ - The ITU Standard for Objective Measurement of Perceived Audio Quality , 2000 .

[8]  Jana Dittmann,et al.  Audio watermark attacks: from single to profile attacks , 2005, MM&Sec '05.

[9]  Werner Oomen,et al.  A temporal domain audio watermarking technique , 2003, IEEE Trans. Signal Process..

[10]  J. van Leeuwen,et al.  Information Hiding , 1999, Lecture Notes in Computer Science.

[11]  Darko Kirovski,et al.  Spread-spectrum watermarking of audio signals , 2003, IEEE Trans. Signal Process..

[12]  Fikret S. Gürgen,et al.  Performance Evaluation of Digital Audio Watermarking Techniques Designed in Time, Frequency and Cepstrum Domains , 2004, ADVIS.

[13]  Ahmed H. Tewfik,et al.  Robust audio watermarking using perceptual masking , 1998, Signal Process..

[14]  Jin Woo Hong,et al.  Audio watermarking for copyright protection of digital audio data , 2001 .