A Robust Blind Audio Watermarking Scheme Based on DCT-DWT-SVD

This paper presents a lifting wavelet transform (LWT)-based blind audio watermarking scheme designed for tampering detection and self-recovery. Following 3-level LWT decomposition of a host audio, the coefficients in selected subbands are first partitioned into frames for watermarking. To suit different purposes of the watermarking applications, binary information is packed into two groups: frame-related data are embedded in the approximation subband using rational dither modulation; the source-channel coded bit sequence of the host audio is hidden inside the 2nd and 3rd -detail subbands using 2N-ary adaptive quantization index modulation. The frame-related data consists of a synchronization code used for frame alignment and a composite message gathered from four adjacent frames for content authentication. To endow the proposed watermarking scheme with a self-recovering capability, we resort to hashing comparison to identify tampered frames and adopt a Reed–Solomon code to correct symbol errors. The experiment results indicate that the proposed watermarking scheme can accurately locate and recover the tampered regions of the audio signal. The incorporation of the frame synchronization mechanism enables the proposed scheme to resist against cropping and replacement attacks, all of which were unsolvable by previous watermarking schemes. Furthermore, as revealed by the perceptual evaluation of audio quality measures, the quality degradation caused by watermark embedding is merely minor. With all the aforementioned merits, the proposed scheme can find various applications for ownership protection and content authentication.

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DCT BASED BLIND AUDIO WATERMARKING SCHEME

Proceedings of the International Conference on Signal Processing and Multimedia Applications ◽

10.5220/0002922101390144 ◽

2010 ◽

Keyword(s):

Audio Watermarking ◽

Blind Audio Watermarking ◽

Watermarking Scheme

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Blind Audio Watermarking Scheme for Copyright Protection of Multi-user

2009 International Conference on Multimedia Information Networking and Security ◽

10.1109/mines.2009.75 ◽

2009 ◽

Cited By ~ 1

Author(s):

Tingting Xu ◽

Zhen Yang

Keyword(s):

Copyright Protection ◽

Audio Watermarking ◽

Blind Audio Watermarking ◽

Watermarking Scheme

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A Multi-Level Robust and Perceptually Transparent Blind Audio Watermarking Scheme Using Wavelets

Archives of Acoustics ◽

10.2478/aoa-2014-0057 ◽

2015 ◽

Vol 39 (4) ◽

pp. 529-539 ◽

Cited By ~ 1

Author(s):

Farooq Husain ◽

Omar Farooq ◽

Ekram Khan

Keyword(s):

Audio Watermarking ◽

Digital Audio ◽

Audio Signals ◽

Blind Audio Watermarking ◽

Single Level ◽

Digital Audio Watermarking ◽

Perceptual Evaluation ◽

Payload Capacity ◽

Multi Level ◽

Watermarking Scheme

Abstract In this paper, a robust and perceptually transparent single-level and multi-level blind audio watermarking scheme using wavelets is proposed. A randomly generated binary sequence is used as a watermark, and wavelet function coding is used to embed the watermark sequence in audio signals. Multi-level watermarking is used to enhance payload capacity and can be used for a different level of security. The robustness of the scheme is evaluated by applying different attacks such as filtering, sampling rate alteration, compression, noise addition, amplitude scaling, and cropping. The simulation results obtained show that the proposed watermarking scheme is resilient to various attacks except cropping. Perceptual transparency of watermark is measured by using Perceptual Evaluation of Audio Quality (PEAQ) basic model of ITU-R (PEAQ ITU-R BS.1387) on Speech Quality Assessing Material (SQAM) given by European Broadcasting Union (EBU). Average Objective Difference Grade (ODG) measured for this method is -0.067 and -0.080 for single-level and multi-level watermarked audio signals, respectively. In the proposed single-level digital audio watermarking scheme, the payload capacity is increased by 19.05% as compared to the single-level Chirp-Based Digital Audio Watermarking (CB-DAWM) scheme.

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