msr

常规的中值滤波器，在噪声的密度不是很大的情况下效果不错。但是当概率出现的概率较高时，常规的中值滤波处理后，仍然具有噪声点，并丢失了细节和边缘，效果不是很好。 自适应中值滤波器可以尽可能的保护图像中细节信息，避免图像边缘的细化或者粗化。(The conventional median filter works well when the noise density is not very large. However, when the probability of probability is high, the conventional median filter still has noise points, and the details and edges are missing. The result is not very good. The adaptive median filter can protect details in the image as far as possible and avoid thinning or coarsening of the image edges.)

用于相位的解缠处理，通过相位解缠，获得展开图(For the phase unwrapping processing, through the phase unwrapping, access to Expand Map)

本代码双密度双树复小波的实现，对图像去噪图像压缩起了很好的作用，很不错的源码(The double-density dual tree complex wavelet code implementation of image compression for image denoising very good effects, it is a good source)

实现ICM算法（条件迭代模型）对于灰度图像的分割(Achieve ICM algorithm (iterative model conditions) for the gray-scale image segmentation)

C# 局部放大图片实例 附完整源码

说明：  经典图论，其中叙述了图论的经典算法等，如最大流、最小割等相关算法。(Classical graph theory, graph theory, which describes the classical algorithms, such as maximum flow, minimum cut, and other related algorithms.)

matlab3种内插法的实现。最近邻内插法，双线性内插法，双三次内插法的具体实现(To realize interpolation in matlab3)

利用互信息进行特征抽取的方法实现，能找到最具代表的特征，有效的实现了计算量的减少和可用来维数缩减(The use of mutual information feature extraction method of implementation, to find the most representative characteristics of an effective implementation of the computation of the reduction and can be used to reduce the dimension)

压缩感知，稀疏表示采用小波基表示，压缩测量采用随机高斯矩阵，重构算法是omp重构(Compressed sensing, sparse representation using wavelet representation, compression measurements using random Gaussian matrix remodeling reconstruction algorithm is omp)

几种经典的图像噪声方差估计方法（论文和源代码）(Several classical noise estimation method (articles and source code))