An SVD-based audio watermarking technique
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
Digital Signal Processing
Chaos-based discrete fractional Sine transform domain audio watermarking scheme
Computers and Electrical Engineering
An adaptive audio watermarking based on the singular value decomposition in the wavelet domain
Digital Signal Processing
Blind and robust audio watermarking scheme based on SVD-DCT
Signal Processing
An SVD audio watermarking approach using chaotic encrypted images
Digital Signal Processing
A Novel Synchronization Invariant Audio Watermarking Scheme Based on DWT and DCT
IEEE Transactions on Signal Processing
Robust audio watermarking in the time domain
IEEE Transactions on Multimedia
An SVD-based watermarking scheme for protecting rightful ownership
IEEE Transactions on Multimedia
Robust and high-quality time-domain audio watermarking based on low-frequency amplitude modification
IEEE Transactions on Multimedia
Localized audio watermarking technique robust against time-scale modification
IEEE Transactions on Multimedia
Histogram-Based Audio Watermarking Against Time-Scale Modification and Cropping Attacks
IEEE Transactions on Multimedia
IEEE Transactions on Information Theory
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Robust and secure watermarking scheme for breath sound
Journal of Systems and Software
Reversible watermarking scheme for medical image based on differential evolution
Expert Systems with Applications: An International Journal
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In this paper, a new and robust audio watermarking scheme based on lifting wavelet transform (LWT) and singular value decomposition (SVD) is proposed. Specifically, the watermark data is efficiently inserted in the coefficients of the LWT low frequency subband taking advantage of both SVD and quantization index modulation (QIM). The use of QIM renders our scheme blind in nature. Furthermore, the synchronization code technique is also integrated into our hybrid LWT-SVD audio watermarking method. Experimental and analysis results demonstrate that the proposed LWT-SVD method is not only robust against both general signal processing attacks and desynchronization attacks but also achieve a very good tradeoff between robustness, imperceptibility and payload. Comparisons with the typical and related audio watermarking algorithms also show that our proposed method outperforms most of the selected algorithms.