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
이 편지는 인간 청각 시스템(HAS)이 변경에 그다지 민감하지 않은 웨이블릿 분해의 고주파수 대역을 사용하여 새로운 고용량의 강력한 오디오 워터마킹 알고리즘을 제안합니다. 주요 아이디어는 고주파 대역을 프레임으로 나눈 다음 임베딩을 위해 해당 프레임의 평균을 기준으로 웨이블릿 샘플을 변경하는 것입니다. 실험 결과는 이 방법이 상당한 지각 왜곡([-5.5, 1]의 ODG 및 약 0dB의 SNR) 없이 매우 높은 용량(약 33kbps)을 가지며 추가 잡음, 필터링과 같은 일반적인 오디오 신호 처리에 대한 견고성을 제공한다는 것을 보여줍니다. , 에코 및 MPEG 압축(MP3).
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Mehdi FALLAHPOUR, David MEGIAS, "DWT-Based High Capacity Audio Watermarking" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 1, pp. 331-335, January 2010, doi: 10.1587/transfun.E93.A.331.
Abstract: This letter suggests a novel high capacity robust audio watermarking algorithm by using the high frequency band of the wavelet decomposition, for which the human auditory system (HAS) is not very sensitive to alteration. The main idea is to divide the high frequency band into frames and then, for embedding, the wavelet samples are changed based on the average of the relevant frame. The experimental results show that the method has very high capacity (about 5.5 kbps), without significant perceptual distortion (ODG in [-1, 0] and SNR about 33 dB) and provides robustness against common audio signal processing such as added noise, filtering, echo and MPEG compression (MP3).
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.331/_p
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@ARTICLE{e93-a_1_331,
author={Mehdi FALLAHPOUR, David MEGIAS, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={DWT-Based High Capacity Audio Watermarking},
year={2010},
volume={E93-A},
number={1},
pages={331-335},
abstract={This letter suggests a novel high capacity robust audio watermarking algorithm by using the high frequency band of the wavelet decomposition, for which the human auditory system (HAS) is not very sensitive to alteration. The main idea is to divide the high frequency band into frames and then, for embedding, the wavelet samples are changed based on the average of the relevant frame. The experimental results show that the method has very high capacity (about 5.5 kbps), without significant perceptual distortion (ODG in [-1, 0] and SNR about 33 dB) and provides robustness against common audio signal processing such as added noise, filtering, echo and MPEG compression (MP3).},
keywords={},
doi={10.1587/transfun.E93.A.331},
ISSN={1745-1337},
month={January},}
부
TY - JOUR
TI - DWT-Based High Capacity Audio Watermarking
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 331
EP - 335
AU - Mehdi FALLAHPOUR
AU - David MEGIAS
PY - 2010
DO - 10.1587/transfun.E93.A.331
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2010
AB - This letter suggests a novel high capacity robust audio watermarking algorithm by using the high frequency band of the wavelet decomposition, for which the human auditory system (HAS) is not very sensitive to alteration. The main idea is to divide the high frequency band into frames and then, for embedding, the wavelet samples are changed based on the average of the relevant frame. The experimental results show that the method has very high capacity (about 5.5 kbps), without significant perceptual distortion (ODG in [-1, 0] and SNR about 33 dB) and provides robustness against common audio signal processing such as added noise, filtering, echo and MPEG compression (MP3).
ER -