A block set interpolation technique based Additive-White-Noise robust audio watermarking method

Pahlavani, Farzad; Pourmohammad, Ali

doi:10.1109/iscisc.2013.6767330

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…Digital audio watermarking is the technique to protect intellectual belongings like sharing online music, recordings over the internet [10]. To implement the efficient audio watermarking technique, we should consider the following key factors like robustness, security and perceptibility with accurate information embed with less amount of data [11]- [12]. Here to achieve this factors we need to prove the better results.…”

Section: Introductionmentioning

confidence: 99%

Robust and Secured Digital Audio Watermarking using Improved DWT-SVD-DFT Approach

Patel¹,

Shah²,

Shah³

2018

IJET

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Today, the use of digital data like image, audio and video is tremendously increasing due to the advancement in technology and internet revolution. With this advancement to attain the one’s ownership and copyrights for this digital data is the biggest challenge. Digital watermarking is one of the technique to attain one’s ownership and copyrights with securely. It is the technique in which the owner’s copyright information can be embedded into the original media either in the form of an image, audio, text or video. There are two main factors we need to observe for this digital audio watermarking to maintain the robustness as well as imperceptibility against the piracy, malicious attacks, and various transformation operations. Though there are many challenges to achieve this results, in this paper, our proposed audio watermarking technique is used to improve the robustness, imperceptibility of the embedded information with security. For Security, in our proposed work we are using synchronized secret key concept with DSSS encryption algorithm and two important powerful transformation methods used that are DWT (Discreet Wavelet Transformation) up to 4-level to get lowest frequency sub-band and after that DFT is applied to get lowest frequency from sub-band found by DWT in which the modifications are done and then SVD (Singular value Decomposition)is applied to it, so that original audio file does not have any impact of watermark bits to get the better robustness and imperceptibility.

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Section: Introductionmentioning

confidence: 99%

Robust and Secured Digital Audio Watermarking using Improved DWT-SVD-DFT Approach

Patel¹,

Shah²,

Shah³

2018

IJET

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“…Therefore, audio watermarking becomes of a great interest as far as intellectual property rights are concerned, particularly protection against online music piracy and content identification [8]. Usually, any efficient audio watermarking technique must fulfill certain properties or objectives where the most important are: robustness, imperceptibility, and complexity [4] [20]- [23]. Robustness refers to the case where the watermark is retained in the source content despite several stages of processing [18] [19].…”

Section: Introductionmentioning

confidence: 99%

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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A block set interpolation technique based Additive-White-Noise robust audio watermarking method

Cited by 2 publications

References 6 publications

Robust and Secured Digital Audio Watermarking using Improved DWT-SVD-DFT Approach

Robust and Secured Digital Audio Watermarking using Improved DWT-SVD-DFT Approach

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

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