Description: 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. Platform: |
Size: 13312 |
Author:lizhenzhen |
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Description: 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 Platform: |
Size: 5707776 |
Author:石莹 |
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Description: 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). according to this embedding binary image and resume its embedded watermark from the watermark signal by the Blind detection Platform: |
Size: 2048 |
Author:wangyapeng |
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Description: 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, the extracted watermark image and the original watermark image are basically the same, anti-attack and strong. Platform: |
Size: 1024 |
Author:liuyuan |
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Description: 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 write to file the results. The code is heavily commented, so I think that further explanations are not needed.Recover Platform: |
Size: 1024 |
Author:gege |
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Description: 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, 要将其嵌入到一维的数字音频信号中, 必须将
二维的图像转化成一维的序列 (4)将水印嵌入到数字音频信号中,从而
最终获得带数字水印的音频信号。-The study I Mody, segmented digital audio signal embedded watermark. Discrete transform domain to facilitate the study of the grayscale image for the digital watermark the original signal is obtained after the binarization processing watermark embedded in the audio signal, thereby obtaining the watermark embedded in the audio signal, and its implementation process schematic block diagram shown in Figure 1. Mainly in the watermark embedding process to achieve the task of four phases: (1) The data preparation and pretreatment, is ready to watermark the original picture and to be embedded in the audio signal of the watermark (2) audio signal segment processing for embedding watermark The audio data portion is divided into (m1* m2) audio data segment (3) The watermark image dimension reduction processing, binary image is converted to grayscale image watermark in this process, and to be embedded into a digital audio signal of a one-dimensional , two-dimensional images must be converted in Platform: |
Size: 1024 |
Author:吴吟骋 |
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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 |
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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 |
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Search - image audio embedding