JFSSL-Cross-Modal-Retrieval-master

常见的几种去噪方法，维纳滤波器，均值滤波各种滤波(Extension of Phase Correlation to Subpixel Registration %Implementation of: % Extension of Phase Correlation to Subpixel Registration)

用matlab编写多级非标准小波重构的函数 (prepared using Matlab multi-level non-standard wavelet function Reconstruction)

下面给出了48项泽尼克多项式，外加一项常数项。需要注意的是，读者并不需要严格按照下文所示的顺序排列这些泽尼克项，实际上在不同的应用和机构会采用不同的排列顺序。 表中的#0项是个常数或者说是平移项（piston term），这一项的系数也代表了平均光程差；而#1和#2项分别是x和y方向的倾斜项（tilt terms），#3代表了聚焦，因此，#1到#3项代表了波前的高斯或者近轴特性；#4和#5项代表了像散和离焦，#6和#7项代表彗差和倾斜，而#8项代表了3级像差和离焦，也就是说#4到#8项为3级相差项；同样地，#9到#15项代表了5级像差，而#16到#24项代表了7级像差，#25到#35项代表了9级像差，#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions. Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)

压缩感知理论稀疏分解工具箱 内附详细的工具箱使用说明及其大量的例程(Compressed sensing theory of sparse decomposition toolbox toolbox included detailed instructions and a large number of routines)

三维逆合成孔径雷达成像算法研究，国外牛人写的，国内下不来，我们教研室托关系在国外下载的(An efficient 3-D near-field ISAR algorithm)

matlab编写计算直边图像的点扩散函数PSF(Compiling Point Spread Function ( PSF) for Computing Straight Edge Images with MATLAB)

利用支持向量机对图像进行分割。特征属性为RGB图像3个通道的亮度。(Using support vector machines for image segmentation. Characteristic properties of three channels of RGB image brightness.)

说明：  经典的KSVD图像字典学习，matlab 代码，有注释，亲测可用(The classic KSVD image dictionary learning, matlab code, include notes, test available)

数字识别PCA方法，对其它图像同样适用，程序简便。(Digital identification PCA method, on the other images of the same application, the program is simple.)

本程序实现位图的读写，均衡化，滤波，LBP，LTP特征提取以及基于LBP，LTP和卡方距离，最近邻分类的人脸识别，批量给图片改名等功能(The program can read and write a bitmap, equalization, filtering, LBP, LTP feature extraction and nearest neighbor classifier for face recognition based on LBP, LTP and chi-square distance, rename picture and some other functions.)