Blind digital speech watermarking based on Eigen-value quantization in DWT
This paper presents a new blind digital speech watermarking technique based on Eigen-value quantization in Discrete Wavelet Transform. Initially, each frame of the digital speech was transformed into the wavelet domain by applying Discrete Wavelet Transform. Then, the Eigen-value of Approximation Co...
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2015
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Online Access: | http://psasir.upm.edu.my/id/eprint/43957/1/Blind%20digital%20speech%20watermarking%20based%20on%20Eigen-value%20quantization%20in%20DWT.pdf http://psasir.upm.edu.my/id/eprint/43957/ https://www.sciencedirect.com/science/article/pii/S131915781400055X |
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my.upm.eprints.439572021-12-01T07:45:17Z http://psasir.upm.edu.my/id/eprint/43957/ Blind digital speech watermarking based on Eigen-value quantization in DWT Nematollahi, Mohammad Ali Al-Haddad, Syed Abdul Rahman Zarafshan, Faraneh This paper presents a new blind digital speech watermarking technique based on Eigen-value quantization in Discrete Wavelet Transform. Initially, each frame of the digital speech was transformed into the wavelet domain by applying Discrete Wavelet Transform. Then, the Eigen-value of Approximation Coefficients was computed by using Singular Value Decomposition. Finally, the watermark bits were embedded by quantization of the Eigen-value. The experimental results show that this watermarking technique is robust against different attacks such as filtering, additive noise, resampling, and cropping. Applying new robust transforms, adaptive quantization steps and synchronization techniques can be the future trends in this field. Elsevier 2015 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/43957/1/Blind%20digital%20speech%20watermarking%20based%20on%20Eigen-value%20quantization%20in%20DWT.pdf Nematollahi, Mohammad Ali and Al-Haddad, Syed Abdul Rahman and Zarafshan, Faraneh (2015) Blind digital speech watermarking based on Eigen-value quantization in DWT. Journal of King Saud University-Computer and Information Sciences, 27 (1). pp. 58-67. ISSN 1319-1578; ESSN: 2213-1248 https://www.sciencedirect.com/science/article/pii/S131915781400055X 10.1016/j.jksuci.2014.03.012 |
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This paper presents a new blind digital speech watermarking technique based on Eigen-value quantization in Discrete Wavelet Transform. Initially, each frame of the digital speech was transformed into the wavelet domain by applying Discrete Wavelet Transform. Then, the Eigen-value of Approximation Coefficients was computed by using Singular Value Decomposition. Finally, the watermark bits were embedded by quantization of the Eigen-value. The experimental results show that this watermarking technique is robust against different attacks such as filtering, additive noise, resampling, and cropping. Applying new robust transforms, adaptive quantization steps and synchronization techniques can be the future trends in this field. |
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Article |
author |
Nematollahi, Mohammad Ali Al-Haddad, Syed Abdul Rahman Zarafshan, Faraneh |
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Nematollahi, Mohammad Ali Al-Haddad, Syed Abdul Rahman Zarafshan, Faraneh Blind digital speech watermarking based on Eigen-value quantization in DWT |
author_facet |
Nematollahi, Mohammad Ali Al-Haddad, Syed Abdul Rahman Zarafshan, Faraneh |
author_sort |
Nematollahi, Mohammad Ali |
title |
Blind digital speech watermarking based on Eigen-value quantization in DWT |
title_short |
Blind digital speech watermarking based on Eigen-value quantization in DWT |
title_full |
Blind digital speech watermarking based on Eigen-value quantization in DWT |
title_fullStr |
Blind digital speech watermarking based on Eigen-value quantization in DWT |
title_full_unstemmed |
Blind digital speech watermarking based on Eigen-value quantization in DWT |
title_sort |
blind digital speech watermarking based on eigen-value quantization in dwt |
publisher |
Elsevier |
publishDate |
2015 |
url |
http://psasir.upm.edu.my/id/eprint/43957/1/Blind%20digital%20speech%20watermarking%20based%20on%20Eigen-value%20quantization%20in%20DWT.pdf http://psasir.upm.edu.my/id/eprint/43957/ https://www.sciencedirect.com/science/article/pii/S131915781400055X |
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13.19449 |