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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)

图像噪声消除，内有很多种消除噪声的方法，比如均值法等。(Image noise reduction, there are many ways to eliminate noise, such as the average method.)

2015年最新国外算法，基于加权视觉词典的人群密度估计(crowd entimatin by a weighted bag of visual word model)

halcon图像处理软件用来检检测图像的圆状物体。可直接使用。 (halcon image processing software is used to check the oblong object detection image. Can be used directly.)

基于kscd算法的合成孔径雷达图像压缩。(Based on kscd algorithm synthetic aperture radar (SAR) image compression.)

图像的各向异性扩散，利用matlab实现Perona_Malik算法，梯度阈值K通过对图像求解2-范数的方法迭代获得(Anisotropic diffusion images, using matlab to achieve Perona_Malik algorithm, the gradient threshold images by solving the K 2- norm method will be obtained)

平常经常用到的一个小程序，两个矩阵相乘的求法(Common often USES a small program, two of the matrix multiplication is also given)

本程序采用水平集方法，演示了一个心形曲线在曲率力的作用下，逐渐消逝的过程。(This procedure uses the level set method, shows the process of a heart-shaped curve s disappearing under the force of the curvature.)

horn天线的仿真模型及结果 可以进行进一步的 实验设计 以及应用到其他场景的喇叭模型(Simulation model and results of horn antenna)

K-SVD的工具箱，使用非常简单，直接运行demo。有助于学习K-SVD，对初学者非常有用。(K-SVD Toolbox, easy to use and it is very useful for beginners.)