compressive-sensing

建立了混合高斯模型，可以对静止背景下运动目标进行检测。(Gaussian mixture model is established, you can still detect moving target in the background.)

图像去模糊处理，分别运用了维纳滤波器、deconvreg方法、deconvlucy方法、盲反卷积等方法。非常实用(Image deblurring processing, namely the use of the Wiener filter, deconvreg method, deconvlucy methods, blind deconvolution methods. Very useful)

Image Edge Enhancing Coherence Filter Toolbox，各向异性非线性扩散滤波器(This toolbox will perform Anisotropic Non-Linear Diffusion filtering on a 2D gray/color or 3D image. This filtering will reduce the image noise while preserving the region edges, and also enhancing the edges by smoothing along them. This is one of the more advanced image enhancement methods available, and also contains HDCS from october 2009. The result looks like an artist painted the image, with clear brush strokes along the image edges and ridges, see screen-shot. )

说明：  该压缩包内含有基于梯度金字塔变换的多模态图像融合方法的MATLAB代码，可以直接运行，得到融合结果。另外，压缩包内包括了多组已配准、待融合的图像示例，具体包括红外图像与可见光图像、CT与MR图像，多聚焦图像。本人还对代码进行了必要的解释。推荐下载(The compression package contains matlab code of multimodal image fusion method based on gradient pyramid transformation, which can be run directly to get fusion results. In addition, the compressed package includes several groups of images that have been registered and to be fused, including infrared images and visible images, CT and MR images, and multi focus images. I also gave the necessary explanation to the code. Recommended download.)

寻找照片PS痕迹的代码~大作业编写~可主要用于寻找添加图像块的PS边缘痕迹，(find the hint of a photo which has been PS)

极化SAR图像处理中，将协方差矩阵转换为STOKES矩阵或Mueller矩阵的程序(Polarization SAR image processing, the covariance matrix will be converted to matrix or Mueller matrix STOKES procedures)

基于离散余弦变换实现图像压缩。程序可以直接运行。(Image compression based on discrete cosine transform.)

matlab 写的提取图像亚像素边界的程序，和Canny算子有比较，里面有两张示例图像！(matlab write the image to extract sub-pixel border procedures, and the Canny operator have more, there are two examples of images!)

车牌识别。系统界面包括车牌图像预处理、定位、矫正、分割、识别等各个步骤的结果显示；显示包括待识别车辆和处理结果图像或数据(License plate recognition. System interface includes license plate image preprocessing, positioning, correction, segmentation, recognition and other steps of the results display; display includes the vehicle to be identified and processing results images or data)

说明：  利用那些已经被破坏的区域的边缘， 即边缘的颜色和结构，根据这些图像留下的信息去推断被破坏的信息区的信息内容，然后对破坏区进行填补 ，以达到图像修补的目的(Using the edge of the damaged area, i.e. the color and structure of the edge, the information content of the damaged information area can be inferred from the information left by these images, and then the damaged area can be filled to achieve the purpose of image repair.)