MSRCR

8通道GRAPPA并行重建算法，4倍加速(Parallel reconstruction algorithms ,GRAPPA，R=4)

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

说明：  InSAR数据处理研究，其中采用最小二乘和质量图指导两种相位解缠方法(The research of InSAR Data processing)

本书介绍了图像去模糊化的一些基本的知识，并且主要针对svd和spectral decomposition的去模糊算法进行了介绍，以及对于这些方法的一些提高计算速度的算法进行了详细是介绍(This ebook intruduces some basic knowledge of deblurring, especially the methods of SVD and Spectral Decomposition, and some fast algorithms for the two methods.)

这是图像运动补偿中的进行运动补偿估计的常用程序算法matlab实现(This is the image motion compensation in the exercise of compensation is estimated to achieve common procedures algorithm matlab)

内含完整基于图像处理的缺陷检测源代码，可以直接运行(Including a complete defect detection based on image processing source code can be directly run)

说明：  实现SURF图像匹配，并将图片进行扭曲处理再次实现匹配。(Surf image matching is realized, and the image is distorted to achieve matching again.)

内含盲均衡与盲解卷算法matlab程序，用于盲信号处理领域(intron blind equalization and blind deconvolution algorithm Matlab procedures for the blind signal processing field)

分段函数的图形画法。用matlab画分段函数，并有图形结果，大家可根据需要修改方程(Sub-function graphic painting. Matlab piecewise function with the painting, and graphic results, we can modify equation)

重要的纹理分割分类基础程序，可以进行更深入的探讨和优化，应用于遥感影像中。(Important basis for classification of texture segmentation procedure can be carried out more in-depth exploration and optimization, application of remote sensing images.)