Blind Audio Watermarking in Transform Domain Based on Singular Value Decomposition and Exponential-Log Operations

Digital watermarking has drawn extensive attention for copyright protection of multimedia data. This paper introduces a blind audio watermarking scheme in discrete cosine transform (DCT) domain based on singular value decomposition (SVD), exponential operation (EO), and logarithm operation (LO). In...

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Main Authors: P. K. Dhar, T. Shimamura
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2017-06-01
Series:Radioengineering
Subjects:
Online Access:https://www.radioeng.cz/fulltexts/2017/17_02_0552_0561.pdf
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spelling doaj-6263eff30a1d43888d69b49e320ce6592020-11-24T23:10:20ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122017-06-01262552561Blind Audio Watermarking in Transform Domain Based on Singular Value Decomposition and Exponential-Log OperationsP. K. DharT. ShimamuraDigital watermarking has drawn extensive attention for copyright protection of multimedia data. This paper introduces a blind audio watermarking scheme in discrete cosine transform (DCT) domain based on singular value decomposition (SVD), exponential operation (EO), and logarithm operation (LO). In our proposed scheme, initially the original audio is segmented into non-overlapping frames and DCT is applied to each frame. Low frequency DCT coefficients are divided into sub-bands and power of each sub band is calculated. EO is performed on the sub-band with highest power of the DCT coefficients of each frame. SVD is applied to the exponential coefficients of each sub bands with highest power represented in matrix form. Watermark information is embedded into the largest singular value by using a quantization function. Simulation results indicate that the proposed watermarking scheme is highly robust against different attacks. In addition, it has high data payload and shows low error probability rates. Moreover, it provides good performance in terms of imperceptibility, robustness, and data payload compared with some recent state-of-the-art watermarking methods.https://www.radioeng.cz/fulltexts/2017/17_02_0552_0561.pdfCopyright protectionDiscrete Cosine TransformSingular Value Decomposition (SVD)Exponential Operation (EO)Logarithm Operation (LO)
collection DOAJ
language English
format Article
sources DOAJ
author P. K. Dhar
T. Shimamura
spellingShingle P. K. Dhar
T. Shimamura
Blind Audio Watermarking in Transform Domain Based on Singular Value Decomposition and Exponential-Log Operations
Radioengineering
Copyright protection
Discrete Cosine Transform
Singular Value Decomposition (SVD)
Exponential Operation (EO)
Logarithm Operation (LO)
author_facet P. K. Dhar
T. Shimamura
author_sort P. K. Dhar
title Blind Audio Watermarking in Transform Domain Based on Singular Value Decomposition and Exponential-Log Operations
title_short Blind Audio Watermarking in Transform Domain Based on Singular Value Decomposition and Exponential-Log Operations
title_full Blind Audio Watermarking in Transform Domain Based on Singular Value Decomposition and Exponential-Log Operations
title_fullStr Blind Audio Watermarking in Transform Domain Based on Singular Value Decomposition and Exponential-Log Operations
title_full_unstemmed Blind Audio Watermarking in Transform Domain Based on Singular Value Decomposition and Exponential-Log Operations
title_sort blind audio watermarking in transform domain based on singular value decomposition and exponential-log operations
publisher Spolecnost pro radioelektronicke inzenyrstvi
series Radioengineering
issn 1210-2512
publishDate 2017-06-01
description Digital watermarking has drawn extensive attention for copyright protection of multimedia data. This paper introduces a blind audio watermarking scheme in discrete cosine transform (DCT) domain based on singular value decomposition (SVD), exponential operation (EO), and logarithm operation (LO). In our proposed scheme, initially the original audio is segmented into non-overlapping frames and DCT is applied to each frame. Low frequency DCT coefficients are divided into sub-bands and power of each sub band is calculated. EO is performed on the sub-band with highest power of the DCT coefficients of each frame. SVD is applied to the exponential coefficients of each sub bands with highest power represented in matrix form. Watermark information is embedded into the largest singular value by using a quantization function. Simulation results indicate that the proposed watermarking scheme is highly robust against different attacks. In addition, it has high data payload and shows low error probability rates. Moreover, it provides good performance in terms of imperceptibility, robustness, and data payload compared with some recent state-of-the-art watermarking methods.
topic Copyright protection
Discrete Cosine Transform
Singular Value Decomposition (SVD)
Exponential Operation (EO)
Logarithm Operation (LO)
url https://www.radioeng.cz/fulltexts/2017/17_02_0552_0561.pdf
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AT tshimamura blindaudiowatermarkingintransformdomainbasedonsingularvaluedecompositionandexponentiallogoperations
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