实现图像去噪功能 KSVD

基于分块的人脸图像超分辨率学习算法实验平台，利用学习到的训练集图像信息对低分辨率图像超分辨率，并可以查看超分辨率后的图像块匹配结果（用鼠标双击结果显示窗口中的实验图像），可以设置实验参数。(Block-based face image super-resolution algorithm for the experimental platform to learn, learning to use the training set of low-resolution image information super-resolution images and can view the image super-resolution block-matching results (double-click with the mouse results display window of the experimental images), the experimental parameters can be set.)

说明：  DIP关于各噪声和滤波概述，里面包含PDF和Latex(Dip overview of noise and filtering)

说明：  matlab 实现小波图像去噪，自编程序非调用库函数(matlab implementation of wavelet image denoising, non-self-compiled programs call library functions)

详细介绍了K-SVD字典训练的详细过程，对稀疏表示研究很有帮助.(Detailed introduces the K- SVD dictionary of detailed training process, the sparse say that research to have the help very much. )

说明：  m-map工具箱，可以帮助画图，比如世界地图的背景(M-map toolbox, can help draw pictures, such as the background of the world map)

说明：  遥感高光谱图像处理，实现丰度估计；传统sansul算法(remote sensing,image processing,abundance estimation method)

说明：  对图像进行细化和提取骨架操作，还是那句话，绝对原创(read an image and proccessed with matlab to get its skeleton and the result of thin)

itti算法进行感兴趣区域的选择，方法较好，可以直接运行。(itti algorithm select the region of interest ,and this program can run directly)

主要用于打开8位、24位BMP图像，并对其进行相应的处理，如：颜色分量提取，检测等(key to open the eight, 24 BMP images, and its corresponding treatment, such as : color component extraction, testing)

经典的图切算法NormalizedCuts.将图论应用到图像分割上，可以限定分割块数，有效分割图像。运行：demoNcutImage.m，即可看到效果。读取的图像名称和块数，可在程序中修改。(classic NormalizedCuts MAP algorithm. On the map will be applied to image segmentation, Segmentation can block limited number of effective segmentation image. Operation : demoNcutImage.m can see results. Read the name and image of a few blocks, the procedure can be modified.)