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用matlab编写的实现Lagrange插值函数
- 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
hybriddwtandsvdvideowatermarking
- hybrid wavelet - SVD based video watermarking in secure domain-hybrid wavelet- SVD based video watermarking in secure domain
LtoLHtoH_svd
- 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
DCT_SVD
- 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
matlab
- ) 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 analys
videowatermarking
- video watermarking based on dct, svd, LSB and wavelet all works good use vipmen video in matlab
A.Blind.and.Robust.Watermarking.Scheme
- 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 importan
06140865
- 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
backgroud-model2
- 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 r
SVD
- 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