| 基于音频统计特征的自适应水印方案 |
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| 引用本文： | 林晓丹.基于音频统计特征的自适应水印方案[J].计算机应用与软件,2011(9). |
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| 作者姓名： | 林晓丹 |
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| 作者单位： | 华侨大学信息科学与工程学院; |
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| 基金项目： | 华侨大学科研基金资助(09HZR12) |
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| 摘 要： | 基于音频小波域系数的均值和方差特征,提出了一种自适应音频水印方法。通过修改音频帧小波域子带细节系数,使其统计均值按照欲嵌入的水印信息发生改变。根据各音频帧的方差调整水印在不同帧中的嵌入强度,检测水印时不需要原始音频。仿真实验表明水印算法能具有更好的不可感知性,并对常规的音频信号处理,例如滤波、MP3压缩、重采样、重量化、幅度放缩等有良好的稳健性。
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| 关 键 词： | 统计特征 音频水印 小波域 自适应 |
AN ADAPTIVE WATERMARKING SCHEME BASED ON AUDIO STATISTICAL FEATURES |
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| Lin Xiaodan.AN ADAPTIVE WATERMARKING SCHEME BASED ON AUDIO STATISTICAL FEATURES[J].Computer Applications and Software,2011(9). |
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| Authors: | Lin Xiaodan |
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| Affiliation: | Lin Xiaodan (College of Information Science and Engineering,Huaqiao University,Quanzhou 362021,Fujian,China) |
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| Abstract: | An adaptive audio watermarking method is proposed based on audio wavelet domain coefficients' mean value and variant features.By modifying audio frame wavelet domain sub-band detailed coefficients,the statistical mean value is changed according to the tobe-embedded watermark information.The embedding strengths in different frames are adjusted in accordance with the variance of each audio frame.Watermark detection can be performed without the original audio.Emulation results demonstrate that the proposed alg... |
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| Keywords: | Statistical features Audio Watermarking Wavelet domain Adaptive |
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