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first two sections has
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     The first two sections of each frame has been transformed by DWT,energy of detail coefficient of the first two sections has been compared,according to energy comparison and watermark bit,combining the features of HAS,and adopting the way of not changing or reducing energy of the detail coefficient,watermarks has been embedded into the detail coefficient.
     对每帧的前两节实施小波变换,对前两节精细分量的能量进行比较,根据能量比较及水印比特,结合HAS特性,采用不改变或缩小精细分量能量的方法,在精细分量中嵌入水印。
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     The audio signal has been divided into several frames, and the frame has been divided into several sections including the same samples. The first two sections of each frame has been transformed by complex cepstrum, means of complex cep- strum coefficient of the first two sections has been compared, according to means comparison and combining watermark bit, adopting the way of not changing, increasing or reducing coefficient of the complex cepstrum, watermarks has been embedded into the complex cepstrum coefficient.
     该算法把音频信号划分为若干帧,每帧划分为若干个节,每节包含若干个相同的采样点,对每帧的前二节实施复倒谱变换,然后比较前二节复倒谱系数的均值,结合水印序列为“0”或“1”,采取缩小、增加或不改变复倒谱系数均值的方法,在复倒谱系数中嵌入水印。
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This paper presents a robust and transparent digital audio watermarking algorithm in DWT(Discrete Wavelet Transform).The audio signal has been divided into several frames including the same samples,and the frame has been divided into several sections including the same samples.The first two sections of each frame has been transformed by DWT,energy of detail coefficient of the first two sections has been compared,according to energy comparison and watermark bit,combining the features of HAS,and adopting...

This paper presents a robust and transparent digital audio watermarking algorithm in DWT(Discrete Wavelet Transform).The audio signal has been divided into several frames including the same samples,and the frame has been divided into several sections including the same samples.The first two sections of each frame has been transformed by DWT,energy of detail coefficient of the first two sections has been compared,according to energy comparison and watermark bit,combining the features of HAS,and adopting the way of not changing or reducing energy of the detail coefficient,watermarks has been embedded into the detail coefficient.The result demonstrates that the algorithm is robust,transparent and blind against common signal processing manipulations and attacks,such as resampling,noise,low-pass filter,remodulation,conversion etc.

提出了一种基于离散小波变换(DWT,DiscreteWaveletTransform)的健壮、透明的数字音频水印算法。把音频信号划分为若干个包含相同采样点的帧,每帧划分为若干个包含相同采样点的节。对每帧的前两节实施小波变换,对前两节精细分量的能量进行比较,根据能量比较及水印比特,结合HAS特性,采用不改变或缩小精细分量能量的方法,在精细分量中嵌入水印。结果证明,该算法具有较强的健壮性、较好的透明性,能盲水印检测,可抵抗常见的音频处理及攻击,如:重采样、添加噪声、低通滤波、重新量化、转换等。

This paper proposed a robust, transparent and blind digital audio watermarking algorithm base on complex cepstrum coeffi- cient mean comparison. The audio signal has been divided into several frames, and the frame has been divided into several sections including the same samples. The first two sections of each frame has been transformed by complex cepstrum, means of complex cep- strum coefficient of the first two sections has been compared, according to means comparison and combining watermark bit, adopting...

This paper proposed a robust, transparent and blind digital audio watermarking algorithm base on complex cepstrum coeffi- cient mean comparison. The audio signal has been divided into several frames, and the frame has been divided into several sections including the same samples. The first two sections of each frame has been transformed by complex cepstrum, means of complex cep- strum coefficient of the first two sections has been compared, according to means comparison and combining watermark bit, adopting the way of not changing, increasing or reducing coefficient of the complex cepstrum, watermarks has been embedded into the complex cepstrum coefficient. The result demonstrates that the algorithm is robust, transparent and blind against common signal processing ma- nipulations and attacks, such as re- sample, remodulation, noise, low- pass filter and conversion etc. Compared with the SMM algo- rithm, it has better transparency and robustness.

提出一种基于复倒谱系数均值比较的数字音频健壮、透明及盲水印算法。该算法把音频信号划分为若干帧,每帧划分为若干个节,每节包含若干个相同的采样点,对每帧的前二节实施复倒谱变换,然后比较前二节复倒谱系数的均值,结合水印序列为“0”或“1”,采取缩小、增加或不改变复倒谱系数均值的方法,在复倒谱系数中嵌入水印。实验证明,该算法具有较强的健壮性,较好的透明性,提取水印属盲水印提取,能经受重新量化、重采样、添加噪声、低通滤波、音频格式转换等常见信号处理及攻击。与SMM算法比较,其透明性、健壮性更好。

 
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