shock滤波器

对图像实现分块操作 很实用的程序(Realize the image sub-block operation is very useful procedure)

数字图像处理中的平滑和锐化（边缘检测）。包括1、添加椒盐、高斯噪声。2对噪声污染的图像分别使用邻域平均法、中值滤波法、K邻近平均法进行平滑。3对一幅图像利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。附处理源图像和处理结果截图。 (Digital image processing smoothing and sharpening (edge detection). Including 1, add salt and pepper, Gaussian noise. Two pairs of images were used noise pollution neighborhood average, median filtering, K close to the average method to smooth. 3 on an image using Roberts gradient method, Sobel operator and Laplacian sharpening, and compare the results. Laws dealing with the source image capture and processing results.)

分段自适应正交匹配追踪StOMP算法源程序，压缩感知里面很好的算法(Orthogonal Matching Pursuit StOMP adaptive segmentation algorithm source code, a good algorithm inside compressed sensing)

为彩色的处理 为彩色的处理 (color processing for the treatment of Color Color Color handling of the treatment)

用于对原始图像根据指定图像的直方图进行匹配的matlab函数。用于改善图像的对比度。(Used for the original image histogram according to the specified image to match the matlab function. Be used to improve the image contrast.)

FCM源代码，专门用于图像分割的，速度很快(FCM source code, specifically for image segmentation, very fast)

该程序主要功能是实现两幅图像特征点的匹配。首先用harris角点检测算法检测出图像角点，然后使用ssd算法筛选匹配的角点，最后将匹配的角点用线连接起来(The program is to achieve two main functions of image feature points of the match. First, with harris corner detection algorithm to detect image corners, then use the ssd corner matching algorithm selection, the final match of the corner will be connected with a line)

层析成像的数学方法与应用-一本关于层析成像的使用方法的详细讲解，对于初学者具有指导性意义。(Mathematical methods and applications of tomography- a detailed on the use of tomography methods to explain, for beginners with a guiding significance.)

说明：  遥感图像运用6S工具来进行大气辐射校正处理(Atmospheric Radiation Correction Processing Using 6S Tool for Remote Sensing Images)

Image Filtering RGB Spatial Wiener Direct Inverse Discrete Fourier Transform DFT Lucy Richardson Median Laplacian (Image Filtering RGB Direct Spatial Wiener Inverse Discrete Fourier Transform DFT Lucy Ri chardson Median Laplacian)