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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Main Authors: Mohammad Ali Nematollahi, S.A.R. Al-Haddad, Faraneh Zarafshan
Format: Article
Language:English
Published: Springer 2015-01-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S131915781400055X
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author Mohammad Ali Nematollahi
S.A.R. Al-Haddad
Faraneh Zarafshan
author_facet Mohammad Ali Nematollahi
S.A.R. Al-Haddad
Faraneh Zarafshan
author_sort Mohammad Ali Nematollahi
collection DOAJ
description 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.
format Article
id doaj-art-394b9eaf12fb4b7c8876f12c6fc8bca1
institution Kabale University
issn 1319-1578
language English
publishDate 2015-01-01
publisher Springer
record_format Article
series Journal of King Saud University: Computer and Information Sciences
spelling doaj-art-394b9eaf12fb4b7c8876f12c6fc8bca12025-08-20T03:52:28ZengSpringerJournal of King Saud University: Computer and Information Sciences1319-15782015-01-01271586710.1016/j.jksuci.2014.03.012Blind digital speech watermarking based on Eigen-value quantization in DWTMohammad Ali NematollahiS.A.R. Al-HaddadFaraneh ZarafshanThis 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.http://www.sciencedirect.com/science/article/pii/S131915781400055XBlind digital speech watermarkingEigen-valueDiscrete wavelet transformSingular value decomposition
spellingShingle Mohammad Ali Nematollahi
S.A.R. Al-Haddad
Faraneh Zarafshan
Blind digital speech watermarking based on Eigen-value quantization in DWT
Journal of King Saud University: Computer and Information Sciences
Blind digital speech watermarking
Eigen-value
Discrete wavelet transform
Singular value decomposition
title 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_short Blind digital speech watermarking based on Eigen-value quantization in DWT
title_sort blind digital speech watermarking based on eigen value quantization in dwt
topic Blind digital speech watermarking
Eigen-value
Discrete wavelet transform
Singular value decomposition
url http://www.sciencedirect.com/science/article/pii/S131915781400055X
work_keys_str_mv AT mohammadalinematollahi blinddigitalspeechwatermarkingbasedoneigenvaluequantizationindwt
AT saralhaddad blinddigitalspeechwatermarkingbasedoneigenvaluequantizationindwt
AT faranehzarafshan blinddigitalspeechwatermarkingbasedoneigenvaluequantizationindwt