printScreenaprintFigure

编程实现基于8×8子块的DCT图像变换，基于JPEG量化矩阵的量化与反量化，基于8×8子块DCT的图像重建；以一幅512×512、8比特/象素的图像为实验对象，计算重建后的PSNR。(Programming based on 8 × 8 sub-block of the DCT image transform, quantization matrix based on the JPEG quantization and anti-quantitative, based on the 8 × 8 sub-block DCT of the image reconstruction to a 512 × 512,8 bits/as Su-image for the experiment, re-calculation of PSNR.)

说明：  双坐标曲线的MATLAB程序。需要的来下载。(Dual process MATLAB curve coordinates. Need to download.)

例举了中值滤波，均值滤波等方法，以及用MSE和PSNR来判断图像质量。(Cites median filtering, average filtering method and the use of MSE and PSNR to judge image quality.)

不同的窗函数，都对应不同的幅值修正系数；针对复制修正中最重要的平顶窗，给出修正的方法。(Different window functions, corresponding to the amplitude correction factor copy the most important amendment of the flat-top windows, give a correction method.)

基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性. (Face recognition based on singular value decomposition method Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La)

Hilbert-Huang变换-DPS-WhitePaper，(Hilbert-Huang Transform-DPS-WhitePaper,)

10個MATLAB處理運算方法,影像強化灰階二值等,看看(10 MATLAB method of processing algorithms, image enhanced gray-scale value of 2 and so on, to see)

这是一个从国外网站下载的ICA 的matlab源代码(This is a website of the ICA from abroad, the source code of the matlab)

This is an example of creating an MSK signal

用matlab处理浮雕效果,一个小程序，对初学者很有帮助(matlabforimagefiltering)