A-Robust-Image-Enhancement

Visual C++下的小波变换，小波分解与重构，加入噪声分析，显示分解和重构图形。(Wavelets for data encode and uncode, the figures would be shown.)

压缩感知图像重构的算法，直接观测原始信号（二维），最后重建(Compressed sensing image reconstruction algorithm, direct observation of the original signal (two-dimensional), and finally reconstruction)

压缩传感，MATLAB，信号重建，正交匹配追踪，打破乃奎斯特定理(Compressed sensing, MATLAB, signal reconstruction, orthogonal matching pursuit, breaking the Nyquist Theorem)

基于分块可压缩传感的图像重建，里面包括contourlet、DWT、DDWT、DCT，图像压缩传感与重建。(Based on the sub-block compressible sensing image reconstruction, which include the Contourlet DWT DDWT,, DCT image compression sensing and reconstruction.)

利用 svt算法解决 Rpca算法的放缩问题，牛刀小试，大家见谅！(Solves the Robust PCA relaxation)

匹配算法，可以完美运行，对于初学者有着很好的参考价值(Matching algorithm, can be a perfect run, has a very good reference for beginners)

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.)

Pacote com icones do Help do Windows

在对散乱点云进行三维重建时，许多算法都需要求点云的法矢并保证所有法矢的方向一致向外。本程序就是对点云数据求法矢和方向调整，包含文件输入输出的完整程序。(Scattered normals strike and reorientation)

这是经典的SAR成像算法，包含了RDA CSA RMA三种常见的对于点目标的成像算法(This is classic SAR imaging algorithm, including the RDA CSA RMA three common for point target imaging algorithm )