Robust High-Capacity Audio Watermarking Based on FFT Amplitude Modification
Summary :
This paper proposes a novel robust audio watermarking algorithm to embed data and extract it in a bit-exact manner based on changing the magnitudes of the FFT spectrum. The key point is selecting a frequency band for embedding based on the comparison between the original and the MP3 compressed/decompressed signal and on a suitable scaling factor. The experimental results show that the method has a very high capacity (about 5 kbps), without significant perceptual distortion (ODG about -0.25) and provides robustness against common audio signal processing such as added noise, filtering and MPEG compression (MP3). Furthermore, the proposed method has a larger capacity (number of embedded bits to number of host bits rate) than recent image data hiding methods.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.1 pp.87-93
- Publication Date
- 2010/01/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.87
- Type of Manuscript
- PAPER
- Category
- Application Information Security
Authors
Keyword
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Mehdi FALLAHPOUR, David MEGIAS, "Robust High-Capacity Audio Watermarking Based on FFT Amplitude Modification" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 1, pp. 87-93, January 2010, doi: 10.1587/transinf.E93.D.87.
Abstract: This paper proposes a novel robust audio watermarking algorithm to embed data and extract it in a bit-exact manner based on changing the magnitudes of the FFT spectrum. The key point is selecting a frequency band for embedding based on the comparison between the original and the MP3 compressed/decompressed signal and on a suitable scaling factor. The experimental results show that the method has a very high capacity (about 5 kbps), without significant perceptual distortion (ODG about -0.25) and provides robustness against common audio signal processing such as added noise, filtering and MPEG compression (MP3). Furthermore, the proposed method has a larger capacity (number of embedded bits to number of host bits rate) than recent image data hiding methods.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.87/_p
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@ARTICLE{e93-d_1_87,
author={Mehdi FALLAHPOUR, David MEGIAS, },
journal={IEICE TRANSACTIONS on Information},
title={Robust High-Capacity Audio Watermarking Based on FFT Amplitude Modification},
year={2010},
volume={E93-D},
number={1},
pages={87-93},
abstract={This paper proposes a novel robust audio watermarking algorithm to embed data and extract it in a bit-exact manner based on changing the magnitudes of the FFT spectrum. The key point is selecting a frequency band for embedding based on the comparison between the original and the MP3 compressed/decompressed signal and on a suitable scaling factor. The experimental results show that the method has a very high capacity (about 5 kbps), without significant perceptual distortion (ODG about -0.25) and provides robustness against common audio signal processing such as added noise, filtering and MPEG compression (MP3). Furthermore, the proposed method has a larger capacity (number of embedded bits to number of host bits rate) than recent image data hiding methods.},
keywords={},
doi={10.1587/transinf.E93.D.87},
ISSN={1745-1361},
month={January},}
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TY - JOUR
TI - Robust High-Capacity Audio Watermarking Based on FFT Amplitude Modification
T2 - IEICE TRANSACTIONS on Information
SP - 87
EP - 93
AU - Mehdi FALLAHPOUR
AU - David MEGIAS
PY - 2010
DO - 10.1587/transinf.E93.D.87
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2010
AB - This paper proposes a novel robust audio watermarking algorithm to embed data and extract it in a bit-exact manner based on changing the magnitudes of the FFT spectrum. The key point is selecting a frequency band for embedding based on the comparison between the original and the MP3 compressed/decompressed signal and on a suitable scaling factor. The experimental results show that the method has a very high capacity (about 5 kbps), without significant perceptual distortion (ODG about -0.25) and provides robustness against common audio signal processing such as added noise, filtering and MPEG compression (MP3). Furthermore, the proposed method has a larger capacity (number of embedded bits to number of host bits rate) than recent image data hiding methods.
ER -
English
