FFTIFFT

说明：  图像处理-人脸识别技术：识别出图像中人物的五官形态，从而达到识别人脸的目的。(Image Processing-Face Recognition Technology)

关于图像融合的评价标准的MATLAB源代码。(Image Fusion on the evaluation criteria of the MATLAB source code.)

是图像处理中常用的测试图库，非常实用,如lena图片， 青椒图片，以及zelda图片等(is the test pictures used in image processing very useful)

令x(n)=5exp(j*0.15*n*n)+6exp(j*300n-j*0.15*n*n) ，w(n)为高斯窗函数。试用matlab软件，取不同长度的窗函数，分别求x(n)离散短时傅里叶变换，并进行信号重构。(ORDER x (n) = 5exp (j* 0.15* n* n)+6exp (j* 300n-j* 0.15* n* n), w (n) for the Gaussian window function. Trial Matlab software, take different lengths of the window function x (n), respectively, seek to discrete short-time Fourier transform, and to reconstruct the signal.)

有关数字图像退化函数的估计与滤波，维纳滤波器实现，运动模糊等(For digital image degradation function estimation and filtering, Wiener filter implementation, motion blur, etc.)

labview vision 本文主要介绍ision的使用方法(labview vision paper describes ision to use)

非局部均值滤波 输入: 待平滑的图像 t: 搜索窗口半径 f: 相似性窗口半径 h: 平滑参数 NLmeans(ima,5,2,sigma) (Non-local mean filtering input: to be a smooth image t: the search window radius f: similarity of the window radius h: smoothing parameter NLmeans (ima, 5,2, sigma) )

说明：  基于Matlab的系列图像处理和显示结果程序，采用主成分分析算法，假定载入系列图像数据后可直接运行得到结果。(Matlab based on a series of image processing and display the results of the procedure, using principal component analysis algorithm, it is assumed that loading series of image data can be directly after the operation results.)

压缩感知中利用增广拉格朗日方程解最小稀疏正则化的恢复算法(DAL solves the dual problem of (1) via the augmented Lagrangian method (see Bertsekas 82). It uses the analytic expression (and its derivatives) of the following soft-thresholding operation， which can be computed for L1 and grouped L1 (and many other) sparsity inducing regularizers. If you are interested in our algorithm please find more details in our technical report or in my talk at Optimization for Machine Learning Workshop (NIPS 2009).)

自适应随机共振算法实现,具体内容注释中会有解释.(Adaptive stochastic resonance algorithm, the specific content of the Notes will be explained.)