Audio Watermarking Based on Eigenvalue Decomposition
Summary :
This letter presents a new blind audio watermarking scheme using eigenvalue decomposition (EVD). Initially, the original audio is divided into frames and the samples of each frame are arranged into a square matrix. EVD is applied to each of these matrices. Watermark data is embedded into the largest eigenvalue of each diagonal matrix by quantization. Data embedding rate of the proposed scheme is 172.39bps. Simulation results confirm the imperceptibility of the proposed scheme and its higher robustness against various attacks compared to the state-of-the-art watermarking methods available in the literature.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E97-A No.12 pp.2658-2661
- Publication Date
- 2014/12/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E97.A.2658
- Type of Manuscript
- LETTER
- Category
- Cryptography and Information Security
Authors
Pranab KUMAR DHAR
Saitama University
Tetsuya SHIMAMURA
Saitama University
Keyword
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Pranab KUMAR DHAR, Tetsuya SHIMAMURA, "Audio Watermarking Based on Eigenvalue Decomposition" in IEICE TRANSACTIONS on Fundamentals,
vol. E97-A, no. 12, pp. 2658-2661, December 2014, doi: 10.1587/transfun.E97.A.2658.
Abstract: This letter presents a new blind audio watermarking scheme using eigenvalue decomposition (EVD). Initially, the original audio is divided into frames and the samples of each frame are arranged into a square matrix. EVD is applied to each of these matrices. Watermark data is embedded into the largest eigenvalue of each diagonal matrix by quantization. Data embedding rate of the proposed scheme is 172.39bps. Simulation results confirm the imperceptibility of the proposed scheme and its higher robustness against various attacks compared to the state-of-the-art watermarking methods available in the literature.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E97.A.2658/_p
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@ARTICLE{e97-a_12_2658,
author={Pranab KUMAR DHAR, Tetsuya SHIMAMURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Audio Watermarking Based on Eigenvalue Decomposition},
year={2014},
volume={E97-A},
number={12},
pages={2658-2661},
abstract={This letter presents a new blind audio watermarking scheme using eigenvalue decomposition (EVD). Initially, the original audio is divided into frames and the samples of each frame are arranged into a square matrix. EVD is applied to each of these matrices. Watermark data is embedded into the largest eigenvalue of each diagonal matrix by quantization. Data embedding rate of the proposed scheme is 172.39bps. Simulation results confirm the imperceptibility of the proposed scheme and its higher robustness against various attacks compared to the state-of-the-art watermarking methods available in the literature.},
keywords={},
doi={10.1587/transfun.E97.A.2658},
ISSN={1745-1337},
month={December},}
Copy
TY - JOUR
TI - Audio Watermarking Based on Eigenvalue Decomposition
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2658
EP - 2661
AU - Pranab KUMAR DHAR
AU - Tetsuya SHIMAMURA
PY - 2014
DO - 10.1587/transfun.E97.A.2658
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E97-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2014
AB - This letter presents a new blind audio watermarking scheme using eigenvalue decomposition (EVD). Initially, the original audio is divided into frames and the samples of each frame are arranged into a square matrix. EVD is applied to each of these matrices. Watermark data is embedded into the largest eigenvalue of each diagonal matrix by quantization. Data embedding rate of the proposed scheme is 172.39bps. Simulation results confirm the imperceptibility of the proposed scheme and its higher robustness against various attacks compared to the state-of-the-art watermarking methods available in the literature.
ER -
English
