Audio-watermarking based ownership verification system using enhanced DWT-SVD technique

Yaman, Musa Al; Al-Taee, Majid A.; Alshammas, Hemam A.

doi:10.1109/ssd.2012.6198022

Cited by 14 publications

(5 citation statements)

References 5 publications

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“…There are many related works that are relevant to the theme of this paper [28]- [30] [32] [38]- [42]. The authors in [28] proposed a secure digital watermarking algorithm.…”

Section: Previous Workmentioning

confidence: 99%

“…Moreover, they minimized the period of the original audio signal by reducing the number of watermark bits through using cryptographic hash function which mainly generates and embeds the digest of the thumbprint watermark instead of its image. In [42], the authors ameliorated the audio watermarking algorithms proposed by [39]- [41] through incorporating a new audio signal framing (i.e., taking one frame and skipping the other 29 frames). Moreover, they proposed a new DWT matrix formation to reduce the D components which are repeated several times in the matrix formation produced in [39]- [41].…”

Section: Previous Workmentioning

confidence: 99%

“…There are two popular and effective metrics used to evaluate the performance of audio watermarking algorithms, these are, imperceptibility and robustness [38]- [42] [44] [45].…”

Section: Performance Evaluationmentioning

confidence: 99%

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Imperceptible and Robust DWT-SVD-Based Digital Audio Watermarking Algorithm

Darabkh

2014

JSEA

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How to cite this paper: Darabkh, K.A. (2014) Imperceptible and Robust DWT-SVD-Based Digital Audio Watermarking Algorithm. Journal of Software Engineering and Applications, 7, 859-871. http://dx. AbstractDigital representation of multimedia is more advantageous than the analog one due to potentially improving the portability, efficiency, and accuracy of the information presented. Despite the challenge of having high hiding capacity like other media watermarking, still audios are likely candidates for data hiding due to their possible capabilities of achieving impressive robustness and protection against online music piracy and content identification. In this paper, we propose efficient audio watermarking embedding and extracting techniques, which mainly use Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD), in which a new matrix formation of details sub-bands is proposed. Additionally, massive experimental work was conducted to investigate the contributions of operating different watermark intensities and multiple levels of DWT to our proposed techniques. Two performance objectives are employed in this work which involve imperceptibility and robustness. To further boost the imperceptibility, we incorporate the code assignment method to our techniques that do outperform what are closely connected in the literature.

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“…There are many related works that are relevant to the theme of this paper [28]- [30] [32] [38]- [42]. The authors in [28] proposed a secure digital watermarking algorithm.…”

Section: Previous Workmentioning

confidence: 99%

Section: Previous Workmentioning

confidence: 99%

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Imperceptible and Robust DWT-SVD-Based Digital Audio Watermarking Algorithm

Darabkh

2014

JSEA

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“…Therefore they are non-blind. Other schemes [7], [8], [12], [14], [15], [17]- [20], [22]- [24] do not use the information and are blind [7], [8], [22]- [24] or non-blind [12], [14], [15], [17]- [20]. It should be noted that the robustness of the first category, which employs some information from the watermark, is likely due to false positive detection [10].…”

Section: Introductionmentioning

confidence: 99%

“…The position of modified singular values can be used as a criterion for categorization as well. For example, some schemes [12], [14], [15], [18]- [20] modify only the largest singular value. Other schemes [7], [8], [17], [21], [22] modify all singular values, and there is a scheme [23] that modifies only some small singular values.…”

Section: Introductionmentioning

confidence: 99%

Singular-Spectrum Analysis for Digital Audio Watermarking with Automatic Parameterization and Parameter Estimation

Karnjana

Unoki

Aimmanee

et al. 2016

IEICE Trans. Inf. & Syst.

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SUMMARYThis paper proposes a blind, inaudible, robust digitalaudio watermarking scheme based on singular-spectrum analysis, which relates to watermarking techniques based on singular value decomposition. We decompose a host signal into its oscillatory components and modify amplitudes of some of those components with respect to a watermark bit and embedding rule. To improve the sound quality of a watermarked signal and still maintain robustness, differential evolution is introduced to find optimal parameters of the proposed scheme. Test results show that, although a trade-off between inaudibility and robustness still persists, the difference in sound quality between the original and the watermarked one is considerably smaller. This improved scheme is robust against many attacks, such as MP3 and MP4 compression, and band-pass filtering. However, there is a drawback, i.e., some music-dependent parameters need to be shared between embedding and extraction processes. To overcome this drawback, we propose a method for automatic parameter estimation. By incorporating the estimation method into the framework, those parameters need not to be shared, and the test results show that it can blindly decode watermark bits with an accuracy of 99.99%. This paper not only proposes a new technique and scheme but also discusses the singular value and its physical interpretation.

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