In this paper, a logarithmic adaptive quantization projection (LAQP) algorithm for digital watermarking is proposed. Conventional quantization index modulation uses a fixed quantization step in the watermarking embedding procedure, which leads to poor fidelity. Moreover, the conventional methods are sensitive to value-metric scaling attack. The LAQP method combines the quantization projection scheme with a perceptual model. In comparison to some conventional quantization methods with a perceptual model, the LAQP only needs to calculate the perceptual model in the embedding procedure, avoiding the decoding errors introduced by the difference of the perceptual model used in the embedding and decoding procedure. Experimental results show that the proposed watermarking scheme keeps a better fidelity and is robust against the common signal processing attack. More importantly, the proposed scheme is invariant to value-metric scaling attack.
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Xuemin ZHAO, Yuhong GUO, Jian LIU, Yonghong YAN, Qiang FU, "Logarithmic Adaptive Quantization Projection for Audio Watermarking" in IEICE TRANSACTIONS on Information,
vol. E95-D, no. 5, pp. 1436-1445, May 2012, doi: 10.1587/transinf.E95.D.1436.
Abstract: In this paper, a logarithmic adaptive quantization projection (LAQP) algorithm for digital watermarking is proposed. Conventional quantization index modulation uses a fixed quantization step in the watermarking embedding procedure, which leads to poor fidelity. Moreover, the conventional methods are sensitive to value-metric scaling attack. The LAQP method combines the quantization projection scheme with a perceptual model. In comparison to some conventional quantization methods with a perceptual model, the LAQP only needs to calculate the perceptual model in the embedding procedure, avoiding the decoding errors introduced by the difference of the perceptual model used in the embedding and decoding procedure. Experimental results show that the proposed watermarking scheme keeps a better fidelity and is robust against the common signal processing attack. More importantly, the proposed scheme is invariant to value-metric scaling attack.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E95.D.1436/_p
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@ARTICLE{e95-d_5_1436,
author={Xuemin ZHAO, Yuhong GUO, Jian LIU, Yonghong YAN, Qiang FU, },
journal={IEICE TRANSACTIONS on Information},
title={Logarithmic Adaptive Quantization Projection for Audio Watermarking},
year={2012},
volume={E95-D},
number={5},
pages={1436-1445},
abstract={In this paper, a logarithmic adaptive quantization projection (LAQP) algorithm for digital watermarking is proposed. Conventional quantization index modulation uses a fixed quantization step in the watermarking embedding procedure, which leads to poor fidelity. Moreover, the conventional methods are sensitive to value-metric scaling attack. The LAQP method combines the quantization projection scheme with a perceptual model. In comparison to some conventional quantization methods with a perceptual model, the LAQP only needs to calculate the perceptual model in the embedding procedure, avoiding the decoding errors introduced by the difference of the perceptual model used in the embedding and decoding procedure. Experimental results show that the proposed watermarking scheme keeps a better fidelity and is robust against the common signal processing attack. More importantly, the proposed scheme is invariant to value-metric scaling attack.},
keywords={},
doi={10.1587/transinf.E95.D.1436},
ISSN={1745-1361},
month={May},}
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TY - JOUR
TI - Logarithmic Adaptive Quantization Projection for Audio Watermarking
T2 - IEICE TRANSACTIONS on Information
SP - 1436
EP - 1445
AU - Xuemin ZHAO
AU - Yuhong GUO
AU - Jian LIU
AU - Yonghong YAN
AU - Qiang FU
PY - 2012
DO - 10.1587/transinf.E95.D.1436
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2012
AB - In this paper, a logarithmic adaptive quantization projection (LAQP) algorithm for digital watermarking is proposed. Conventional quantization index modulation uses a fixed quantization step in the watermarking embedding procedure, which leads to poor fidelity. Moreover, the conventional methods are sensitive to value-metric scaling attack. The LAQP method combines the quantization projection scheme with a perceptual model. In comparison to some conventional quantization methods with a perceptual model, the LAQP only needs to calculate the perceptual model in the embedding procedure, avoiding the decoding errors introduced by the difference of the perceptual model used in the embedding and decoding procedure. Experimental results show that the proposed watermarking scheme keeps a better fidelity and is robust against the common signal processing attack. More importantly, the proposed scheme is invariant to value-metric scaling attack.
ER -