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Description: 用matlab编写的实现Lagrange插值函数和三次样条插值函数，输入值为x向量和对应的y向量，输出函数图像-Matlab prepared with the realization of Lagrange interpolation function and cubic spline interpolation function, type the value of x vector and the corresponding y vector, the output function of image
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Size: 2048 |
Author: 张宁 |
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Description: hybrid wavelet - SVD based video watermarking in secure domain-hybrid wavelet- SVD based video watermarking in secure domain
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Size: 22210560 |
Author: guru |
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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.
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Size: 1024 |
Author: liuyuan |
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Description: 本文提出一种在原始视频DCT(离散余弦变换)与SVD(奇异值分解)域自适应嵌入水印的算法。算法首先将视频流分割成一个个场景,场景中的视频图像被变换到DCT-SVD域中,水印量化嵌入在最大奇异上,实现了水印盲检测。同时实验证明该算法在满足透明性要求下也满足一定的鲁棒性要求,能够抵抗低通滤波、中值滤波、椒盐噪声、高斯噪声、H.264压缩攻击以及统计攻击和帧剪切等攻击。-This paper presents an original video in the DCT (Discrete Cosine Transform) and SVD (singular value decomposition) algorithm for adaptive watermark embedding. Firstly, a video stream is divided into scenes, scenes of the video image is converted to the DCT-SVD domain, the watermark embedded in the largest singular quantification, the realization of the watermark signal. Furthermore, the experiments show that the algorithm meet the transparency requirements are met under certain robustness requirements, can resist the low-pass filtering, median filtering, salt and pepper noise, Gaussian noise, H.264 compression attacks and attacks and frame shear statistics attack.
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Size: 63488 |
Author: 久久 |
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Description: ) 使用分块的主成分分析方法(PCA)对人脸图像进行压缩编码。针对PCA方法计算量大的缺点,首先把问题转化成奇异值分解(SVD)问题,然后设计了特征空间的更新算法,通过递推,简化每一步计算的计算量,达到了实时编码的要求。 4) 在Windows平台下基于Video for Windows(VFW)接口开发了人脸视频图像编码和解码的实验系统,该系统实现了图像采集、图像显示、编码、解码等功能。-) The use of sub-blocks of principal component analysis (PCA) on the human face image coding. PCA method for large defects, first of all the issues into a singular value decomposition (SVD) problem, and then design a feature space of the update algorithm, recursive, simplifying the calculation of the amount calculated at each step to achieve real-time encoding requirements. 4) In the Windows platform based on Video for Windows (VFW) interfaces, the human face image coding and decoding video experimental system, the system achieved image acquisition, image display, encoding, decoding functions.
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Size: 1024 |
Author: 周参 |
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Description: video watermarking based on dct, svd, LSB and wavelet all works good use vipmen video in matlab
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Size: 1180672 |
Author: satguru |
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Description: Abstract- H.264/AVC is becoming a popular video codec for
its better compression ratio, lower distortion and applicability
to portable electronic devices. Thus, issues of copyright
protection appropriate for this standard become very
important. In this paper, a new blind SVD (Singular Value
Decomposition) - DCT combined video watermarking scheme
for the ".264 standard is proposed. The proposed method is a
blind watermarking algorithm as the hidden information can be
extracted without the original video and the original singular
values. To reduce visual quality degradation caused by
coefficients modifying, the perceptual model and block selection
mechanism are introduced to control the modification strength.
The performance of the proposed algorithm is evaluated with
respect to imperceptibility, robustness and data payload.
Experimental results reveal that the proposed scheme achieves
enough robustness while preserving the perceptual quality.-Abstract- H.264/AVC is becoming a popular video codec for
its better compression ratio, lower distortion and applicability
to portable electronic devices. Thus, issues of copyright
protection appropriate for this standard become very
important. In this paper, a new blind SVD (Singular Value
Decomposition)- DCT combined video watermarking scheme
for the ".264 standard is proposed. The proposed method is a
blind watermarking algorithm as the hidden information can be
extracted without the original video and the original singular
values. To reduce visual quality degradation caused by
coefficients modifying, the perceptual model and block selection
mechanism are introduced to control the modification strength.
The performance of the proposed algorithm is evaluated with
respect to imperceptibility, robustness and data payload.
Experimental results reveal that the proposed scheme achieves
enough robustness while preserving the perceptual quality.
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Size: 486400 |
Author: lie |
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Description: In this paper, we propose a new method that use
side view video pre-processing with DWT-SVD based water-marking scheme. This processing switch the video references
of the frames with dimensions equivalent of the number of
frames like width and the same height than the original video.
The DWT-SVD watermarking is applied in.
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Size: 137216 |
Author: vijay |
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Description: 针对传统背景建模存在的问题，文中基于低秩矩阵恢复原理，直接从视频序列中分离出前景物体和背景模型。已有低秩矩阵恢复算法的迭代计算过程中涉及大量的奇异值分解，而这些奇异值分解一般非常耗时且不够简洁，文中在非精确增广拉格朗日乘子法中引入线性时间奇异值分解算法，以得到更加有效的背景建模算法。基于
实际视频序列实验，结果表明该改进算法具有更好的建模效果和较少的运算时间。-In this paper，a novel method is present based on low-rank matrix recovery，which can directly
obtain background model as well as foreground objects from the video sequence． As the main computation
of existing algorithms of low-rank matrix recovery is the singular value decomposition，most of which are
time-consuming and not concise enough，the linear time SVD algorithm is introduced to the inexact augmented
Lagrange multiplier method，and we get a more efficient background modeling algorithm． We test
our algorithm on real video，and the experimental results show that our approach obtains good results and
less time-consuming，compared to the exact and inexact augmented Lagrange multiplier method．
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Description: 用于解决视频质量诊断系统里的模糊检测模块，使用的是图像的奇异值特征，获取先验值后检测效果还不错-Video quality diagnostic systems used to solve in the blur detection module, using singular value feature of the image, after obtaining a priori value detection results were good
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Size: 215040 |
Author: 胡鹏程 |
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