Description: 数字音频水印的嵌入和检测，使用的算法是基于小波变换-Digital audio watermark embedding and detection algorithms used are based on wavelet transform Platform: |
Size: 2048 |
Author:周亮 |
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Description: 】利用混沌动力学系统中logistic 映射先对水印图像进行置乱预处理以增强其鲁棒性, 在小波域中将原始音频信号按比例分段, 此比例为原始音频信号低频部分与水印信号个数之比, 然后将水印信号加入到音频信号的
低频部分。用StirMark 攻击后的实验结果表明, 该算法对StirMark 的部分攻击具有一定的鲁棒性。-The logistic- map sequences to encrypt the watermark are used. The original audio signal in DWT
(Discrete Wavelet Transform) domain is seperated into some pieces determined by the ratio between the length of
the low frequency parts and the length of the encrypted watermark. Every bit of the watermark is added into the
relevant pieces of the low frequency parts in the DWT domain. Experimental results show that the algorithm is
robust against some StirMark attacks. Platform: |
Size: 2048 |
Author:李斌 |
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Description: Owing to the broad application value of audio
watermarking in remote transmission and mobile
extraction, it is very important to study watermarking
approaches against A/D and D/A conversion. Based
on wavelet decomposition and cepstrum technology,
an audio watermarking algorithm is proposed where
the low-frequency wavelet coefficients are chosen for
cepstrum transforming. Then, the obtained cepstrum
data shows stable for watermark hiding by the
methods of edging data cutting and statistical mean
modification. The synchronization is not required in
the algorithm. Experimental results show that the
proposed algorithm can resist on the attack of A/D
and D/A successfully with features of large capacity
and zero bit error. It will be helpful for the mobile
audio in secure broadcast and management in the Platform: |
Size: 207872 |
Author:vinay |
Hits:
Description: Owing to the broad application value of audio
watermarking in remote transmission and mobile
extraction, it is very important to study watermarking
approaches against A/D and D/A conversion. Based
on wavelet decomposition and cepstrum technology,
an audio watermarking algorithm is proposed where
the low-frequency wavelet coefficients are chosen for
cepstrum transforming. Then, the obtained cepstrum
data shows stable for watermark hiding by the
methods of edging data cutting and statistical mean
modification. The synchronization is not required in
the algorithm. Experimental results show that the
proposed algorithm can resist on the attack of A/D
and D/A successfully with features of large capacity
and zero bit error. It will be helpful for the mobile
audio in secure broadcast and management in the Platform: |
Size: 199680 |
Author:vinay |
Hits:
Description: Owing to the broad application value of audio
watermarking in remote transmission and mobile
extraction, it is very important to study watermarking
approaches against A/D and D/A conversion. Based
on wavelet decomposition and cepstrum technology,
an audio watermarking algorithm is proposed where
the low-frequency wavelet coefficients are chosen for
cepstrum transforming. Then, the obtained cepstrum
data shows stable for watermark hiding by the
methods of edging data cutting and statistical mean
modification. The synchronization is not required in
the algorithm. Experimental results show that the
proposed algorithm can resist on the attack of A/D
and D/A successfully with features of large capacity
and zero bit error. It will be helpful for the mobile
audio in secure broadcast and management in the Platform: |
Size: 346112 |
Author:vinay |
Hits:
Description: 在小波域中，以图像作为水印信息，嵌入以声音为载体信号的源程序。-n wavelet domain to image as a watermark, embedded with sound as the carrier signal source program.
Platform: |
Size: 1024 |
Author:duanmin |
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Description: 利用matlab自带的小波函数对音频进行分解然后嵌入经降维之后的图像水印并提取-Matlab comes with wavelet function to decompose the audio and image watermark embedded by the dimensionality reduction and extract Platform: |
Size: 5120 |
Author:刘俊 |
Hits:
Description: 利用matlab自带的小波函数对音频进行分解然后嵌入经降维之后的图像水印并提取-Matlab comes with wavelet function to decompose the audio and image watermark embedded by the dimensionality reduction and extract Platform: |
Size: 130048 |
Author:刘俊 |
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Description: Speech Based Watermarking for Digital Images
This paper presents a novel scheme of
watermarking of digital images for copyright protection and
authentication. In this paper we proposed a method of
embedding owner’s speech signal. Speech being a biometric data,
the watermark signal in this method is expected to be more
meaningful and has closer correlation with copyright holder.
The main issue of concern here is the capacity because the speech
data has large number of samples. Linear predictive coding is
used to encode the audio data. Here, speech samples are
imperceptibly inserted using spread spectrum technique into the
mid frequency band of wavelet transform of image which makes
it robust to lossy compression. Applications for such a speechhiding
scheme include copy protection, authentication and covert
communication. Platform: |
Size: 195584 |
Author:Nayan Patel |
Hits:
Description: In this paper we proposed a method of
embedding owner’s speech signal. Speech being a biometric data,
the watermark signal in this method is expected to be more
meaningful and has closer correlation with copyright holder.
The main issue of concern here is the capacity because the speech
data has large number of samples. Linear predictive coding is
used to encode the audio data. Here, speech samples are
imperceptibly inserted using spread spectrum technique into the
mid frequency band of wavelet transform of image which makes
it robust to lossy compression. Applications for such a speechhiding
scheme include copy protection, authentication and covert
communication. Platform: |
Size: 1614848 |
Author:Nayan Patel |
Hits:
Search - audio watermark with wavelet