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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
Update : 2025-02-17 Size : 2kb Publisher : 周亮

】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.
Update : 2025-02-17 Size : 2kb Publisher : 李斌

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
Update : 2025-02-17 Size : 203kb Publisher : vinay

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
Update : 2025-02-17 Size : 195kb Publisher : vinay

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
Update : 2025-02-17 Size : 338kb Publisher : vinay

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.
Update : 2025-02-17 Size : 1kb Publisher : duanmin

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
Update : 2025-02-17 Size : 5kb Publisher : 刘俊

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
Update : 2025-02-17 Size : 127kb Publisher : 刘俊

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.
Update : 2025-02-17 Size : 191kb Publisher : Nayan Patel

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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.
Update : 2025-02-17 Size : 1.54mb Publisher : Nayan Patel
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