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基于水印算法的音频的水印的嵌入与提取，通过转换把图像隐藏于音频中,Audio Watermarking Algorithm Based on the watermark embedding and extraction, by converting the image hidden in the audio in
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用MATLAB实现数字音频水印的嵌入和提取，即是在一段音频水印中嵌入二维图像。-Using MATLAB realization of digital audio watermark embedding and extraction, that is, over a period of two-dimensional audio watermark embedded image.
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对音频信号分帧加窗,对每帧进行三阶小波变换,取其逼近系数平均值(一般为零).在此嵌入二值图像 并有对潜入水印信号进行盲检,恢复其嵌入水印-Sub-frame of the audio signal increases the Hamming window for each frame impletment third-order wavelet transform, whichever is close to the average coefficient (usually zero). a
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本算法结合小波变换和SVD奇异值变换，实现了水印的嵌入和提取，载体图像的鲁棒性和水印的不可见性，提取出的水印图像的和原水印图像基本一致，抗攻击性强。-The algorithm combines wavelet transform and SVD singular value transformation, achieved watermark embedding and extraction, vector image watermark robustness and invisibility
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Briefly with the following code I will try to embed the MSB of the baboon image into the picture of Lena by exploiting the LSB embedding technique. We will try also to add an WGN (white gaussian noise) to the image then after these operations we will
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embedding file image into audio file in this case wave file
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基于matlab的音频水印技术，通过小波变换实现水印的嵌入，并提取水印图像。-Matlab based audio watermarking technology, through wavelet transform watermark embedding, watermark and extraction of image.
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embeding a bitmap image to audio file
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How to embedding binary image in digital audio & how to extract that binary image
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研究中我么采用分段的方法对数字音频信号嵌入水印。为便于研
究，以灰度图像为数字水印原始信号经二值化处理后得到水印再嵌入
音频信号的离散变换域中，从而得到嵌入水印的音频信号，其实现过
程原理框图如图1 所示。在水印嵌入的过程主要实现四个阶段的任
务：(1)数据准备与预处理，主要是准备好水印原始图片和待嵌入水印
的音频信号 (2)音频信号分段处理，用于嵌入水印的音频数据部分等
分成(m1*m2)个音频数据段 (3)水印图像降维处理，在此过程灰度图像
水印转化为二值图象,
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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 co
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Steghide is a steganography program that is able to hide data in various kinds
of image- and audio-files. The color- respectivly sample-frequencies are not
changed thus making the embedding resistant against first-order statistical
tests.
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