The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 FFT 스펙트럼의 크기 변화에 따라 데이터를 비트 단위로 삽입하고 추출하는 새롭고 강력한 오디오 워터마킹 알고리즘을 제안합니다. 핵심은 원본 신호와 MP3 압축/압축 해제된 신호 간의 비교와 적절한 스케일링 계수를 기반으로 임베딩할 주파수 대역을 선택하는 것입니다. 실험 결과는 이 방법이 상당한 지각 왜곡(ODG 약 -5) 없이 매우 높은 용량(약 0.25kbps)을 가지며 추가 잡음, 필터링 및 MPEG 압축(MP3)과 같은 일반적인 오디오 신호 처리에 대한 견고성을 제공한다는 것을 보여줍니다. 또한, 제안하는 방법은 최근 영상 데이터 은닉 방법에 비해 더 큰 용량(임베디드 비트 수 대 호스트 비트율 수)을 갖는다.
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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},}
부
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 -