SAR_KPCA

) 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.)

一个具备线，矩形，椭圆的画图程序，可以设置颜色，宽度，字体(One with lines, rectangles, ellipses drawing program, you can set the color, width, font)

这是一个印度人编的程序，用于两图像单应矩阵和变换结果的求取(This function estimates 2D-2D plane projective homography between two perspective images using Direct Linear Transformation, RANSAC and Levenberg Marquardt optimisation.)

数字图像相位相关性，对两幅图像位移的前后相位变化进行检测(Phase Correlation)

图像检测，目标检测简单来说就是找出图像中的目标并给定目标的位置，一般用矩形框定位出目标(In image detection, target detection is simply to find out the target in the image and give the location of the target. In general, the rectangular box is used to locate the target)

说明：  基于各向异性扩散方程的一款经典的ＳＡＲ图像相干斑噪声抑制的算法实现，可以直接用的，效果很好！(Anisotropic diffusion equation based on a classic SAR image speckle noise reduction algorithm can be directly used, very good!)

基于图像颜色矩和纹理的图像检索系统，matlab语言编写，图像库包含在内(Image color and texture-based image retrieval system, Matlab language, image library included)

说明：  小波分析增强滤波。小波变换的原理类似傅里叶变换，只是把三角函数基换成了小波基。与傅里叶变换不同，小波变换有两个变量：scale和translation。scale控制小波函数的收缩，其导数即为频率，translation控制小标函数的平移，平移量对应时间。通过信号的伸缩平移，可以得到某种重合情况，这样积分也会得到一个极大值，不同的是，得到频率成分的同时，还可以知道该频率的时间位置。(Wavelet analysis enhances filtering.The wavelet transform works like the Fourier transform, except that the trigonometric basis is replaced by a wavelet basis. Unlike the Fourier transform, the wavelet transform has two variables: scale and Translation. Scale controls the contraction of the wavelet function, its derivative is frequency, translation controls the translation of the small scale function, and the translation corresponds to the time. By stretching and shifting the signal, you can get some kind of coincidence, so that the integral will also get a maximum, but the difference is that when you get the frequency component, you can also know the time position of that frequency.)

使用改进的点锐度算法对不同程度的模糊图像进行清晰度评价。(The improved algorithm of point sharpness is used to evaluate the blurred image in different degree.)

合成孔径雷达成像算法仿真程序(Synthetic aperture radar imaging algorithm simulation program)