Description: 基于小波零树特性的视觉感知度模型的优化方案, 给出了两种水印算法: 一种算法嵌入的是高斯序列水印, 通过相关检测实现盲检测 另一种算法嵌入的是二值图像水印, 水印的提取是非盲提取。这两种算法在所有重要小波系数( 包括最低频系数) 中嵌入水印, 以达到最大化水印嵌入量的目的, 并结合感知度模型在水印的透明性和鲁棒性之间实现了较好的平衡, 对于常见的图像处理操作, 特别是对于JPEG 和小波压缩均有较好的鲁棒性。-based on wavelet zerotree visual perception characteristics of the model optimization program, and presents two watermarking algorithm : An algorithm is embedded watermark Gaussian sequence, through correlation detection achieve a blind detection algorithm embedded in the binary image watermark, the watermark extraction from non-blind. These two important algorithm in all wavelet coefficients (including most low-frequency coefficients) embedded watermark, to maximize embedding of purpose, and perceptual model with the watermark of transparency and robustness between a good balance, for common image processing, particularly for JPEG and wavelet compression has better robustness. Platform: |
Size: 764928 |
Author:yy |
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Description: 提出了一种离散小波变换域实现图像水印的方法。这种算法充分利用小波变换的特点,把原始图像及水印图像塔式分解,在多分辨率分解后的相同的频段来嵌入水印信息。该方法也利用了人眼视觉特性,算法简单而有效。实验证明,该算法较好地解决了水印不可见性与鲁棒性之间的矛盾,对常见的水印攻击都有较强的鲁棒性。-presents a discrete wavelet transform domain image watermarking method. This algorithm using wavelet transform characteristics, the original image and the watermark image tower decomposition, Multiresolution decomposition in the same frequency band to the embedded watermark. The method has also been used HVS, the algorithm is simple and effective. Experiments show that the algorithm can solve the watermark is visible with the robust nature of, common to have more attacks watermark robustness. Platform: |
Size: 151552 |
Author:yy |
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Description: matlab 源码,基于小波变换的语音信息隐藏的实现,对原始语音信息和水印信息都经过三层小波分解处理后,将水印信息的低频信号嵌入原始语音信号的部分高频信号部分实现隐藏.源代码不仅给出隐藏过程,并且给出的在随机噪声,重采样,信息压缩情况下的抗攻击特性.源代码清晰有注释-matlab source code, based on wavelet transform voice messages hidden realize, the original voice information and watermark information after a three-treatment, after wavelet decomposition, the watermark information embedded in the low-frequency signals of the original speech signal realize some hidden part of high-frequency signals. source code is given not only to hide the process, and given in random noise, resampling, compression of information in case of anti-attack features. source code has a clear Notes Platform: |
Size: 1024 |
Author:桑圣洁 |
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Description: 一种基于DCT域盲数字水印嵌入程序，在DCT中频系数中嵌入水印，恢复時不用用到原始图像。-Based on DCT-domain blind digital watermark embedding process, in the intermediate frequency DCT coefficients to embed watermarks, when not used to restore the original image. Platform: |
Size: 128000 |
Author:晁文婷 |
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Description: 利用同一密钥的混沌序列对经过置乱的水印信息实现双重加密，考虑小波变换的能量分布问题，把水印信息嵌入低频系数中，确保水印信息的可靠性。提取时利用图像复原方法实现盲检测。-Using the same key after a chaotic sequence of scrambling the watermark information to achieve the double encryption, consider the wavelet energy distribution problem, the watermark information embedded in low-frequency coefficients to ensure the reliability of watermark information. Extracted using image restoration method to achieve blind detection. Platform: |
Size: 625664 |
Author:王宇 |
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Description: 利用数字水印技术能够对数字作品实现有效的版权保护。目前的数字水印技术大多都是针对多媒体数据。但是在地理信怠系统中除了橱格数据外, 还存在大的矢童数据。目前的数字水印算法仅仅能满足橱格数据, 无法满足在矢童数据中嵌入水印的需求。本丈在分析数据特汽的基础上, 在矢童数据的频城提出了一套行之有效的数字水印算法。-The use of digital watermarking technology for digital works to achieve an effective copyright protection. At present, most of the digital watermarking technology are targeted at multimedia data. However, in the geographical letter except idle system cabinet grid data, there are still a big child vector data. At present, only the digital watermarking algorithm can satisfy the cupboard grid data, unable to meet the child in the vector data embedded watermark needs. Zhangting data in the analysis of this special steam on the basis of the data in the frequency of vector Tong City proposed a set of proven digital watermarking algorithm. Platform: |
Size: 242688 |
Author:pedal |
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Description: 基于MATLAB的数字水印的图像实现，采用DWT的频域方法嵌入水印信号-MATLAB-based digital watermarking of images to achieve, using DWT frequency domain methods embed the watermark signal Platform: |
Size: 262144 |
Author:王娜 |
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Description: 这个Matlab程序的最主要功能在water.m文件中，当你调用这个函数之后，系统会提示你给哪个图像文件加水印。blockdwt2.m文件，用于在小波频域添加水印logo图片。dmg.m文件产生水印logo图片。watdet3.m文件中的函数实现的功能是检查是否有水印的logo存在。-The main function of Matlab procedures in water.m document, when you call this function, the system will prompt you to add a watermark image files which. blockdwt2.m documents, for the wavelet frequency domain to add a watermark logo image. dmg.m document generated picture watermark logo. watdet3.m realize a function of the document Platform: |
Size: 864256 |
Author:xlz |
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Description: dct域的图像数字水印，将水印图像信息隐藏在DCT系数的中频部分。-DCT domain image watermarking, the watermark image information hidden in the intermediate frequency part of DCT coefficients. Platform: |
Size: 205824 |
Author:zyy |
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Description: 一个mpg压缩的水印提取程序,考虑到了几种压缩格式,并基于此提出DCT频率域上的水印提取.对学习视频水印的人有help-Mpg compressed a watermark extraction procedure, taking into account several types of compression formats, and based on this proposed DCT frequency domain watermark extraction. For learning video watermarking help people Platform: |
Size: 1024 |
Author:zzy |
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Description: 频域法加入数字水印的原理是首先将原始信号（语音一维信号、图像二维信号）变换到频域，常用的变换一般有DWT、DCT、DFT、WP和分形。然后，对加入了水印信息的信号进行频域反变换（IDWT、IDCT、DFT、WP），得到含有水印信息的信号。-Frequency-domain digital watermarking method by adding the principle is that first of all, the original signal (voice signal of one-dimensional, two-dimensional image signal) to frequency domain transformation, commonly used in general transform DWT, DCT, DFT, WP and fractal. Then, adding the watermark information signal to the frequency domain inverse transform (IDWT, IDCT, DFT, WP), received signal containing the watermark information. Platform: |
Size: 2048 |
Author:laura |
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Description: Matlab source code for DCT-based watermarking for grayscale images. DCT-based watermark recovering without resorting to the uncorrupted original image. Digital watermarking has been proposed as a viable solution to the need of copyright protection and authentication of multimedia data in a networked environment, since it makes possible to identify the author, owner, distributor or authorized consumer of a document.
A new watermarking technique to add a code to digital images is presented: the method operates in the frequency domain embedding a pseudo-random sequence of real numbers in a selected set of DCT coefficients. Watermark casting is performed by exploiting the masking characteristics of the Human Visual System, to ensure watermark invisibility. The embedded sequence is extracted without resorting to the original image, so that the proposed technique represents a major improvement to methods relying on the comparison between the watermarked and original images.
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Size: 98304 |
Author:omar |
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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: 最大频率选择的小波实现的经典论文之一，论述非常详尽.-Wavelet maximum frequency of choice, one of the classic paper discusses in great detail. Platform: |
Size: 971776 |
Author:刘苗 |
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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: 199680 |
Author:vinay |
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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: 346112 |
Author:vinay |
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Description: 变换域的数字图像水印技术及图像质量评价研究-Study of digital image watermarking in frequency
domain and image quality evaluation
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Size: 2668544 |
Author:穆晓慧 |
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Description: 提出了一种新的基于离散小波变换(DWT)与奇异值分解(SVD)相结合的数字图像水印算法。该算法将原始图像作小波分解并将小波分解得到的低频子带进行分块，对每一块进行奇异值分解后，选取每块中最大的奇异值通过量化的方法嵌入经过Arnold置乱后水印信息。-A new wavelet transform based on discrete (DWT) and Singular Value Decomposition (SVD) combination of digital image watermarking algorithm. The algorithm for wavelet decomposition of the original image and wavelet decomposition low-frequency sub-band are divided into blocks, each a singular value decomposition, the selection of each block by the largest singular value methods to quantify Arnold scrambled after embedding the watermark . Platform: |
Size: 38912 |
Author:久久 |
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Description: Abstract—Based on the observation that low-frequency DCT
coefficients of an image are less affected by geometric processing,
we propose a new blind MPEG-2 video watermarking algorithm
robust to camcorder recording. Both the embedding and
extraction of the watermarks are done in the compressed domain.
The mean of the low-frequency DCT coefficients of the video is
temporally modulated according to the information bits. To
reduce complexity, we embed watermark in the prediction error
signals of the B-frames. Experimental results show that the
proposed scheme achieves high video quality and robustness to
camcorder recording, trans-coding, frame-rate conversion, and
geometric attacks on common test videos. Platform: |
Size: 136192 |
Author:lie |
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Description: 将具有特定标识的信息隐藏在数字化图像、视频、音频等多媒体。是一种基于DCT变换和ARNOLD置乱技术的数字图像水印算法，首先通过Arnold置乱二值水印图像对水印图像进行加密，其次将加密后的图像选择适合的强度，在载体图像中选择低频信号的位置进行嵌入。适合用于简单的图片版权保护。(Information that has a specific identity is hidden in digital image, video, audio and other multimedia. Is a kind of based on DCT transform and ARNOLD scrambling technology of digital image watermarking algorithm, first by ARNOLD scrambling binary watermark image of watermark image is encrypted, then will choose suitable strength, the encrypted image in the image embedded in select the location of the low frequency signal. Suitable for simple image copyright protection.) Platform: |
Size: 1024 |
Author:潇倩
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Search - watermark in frequency