PSNR_2

一种基于孔径编码的图像复原方法，效果非常好，不过缺陷是需要知道PSF等先验知识(Based on coded aperture image restoration method, the effect is very good, but the deficiencies need to know a priori knowledge of PSF, etc.)

对于MATLAB双目视觉处理中，通过前期获取摄像机参数等后制成深度图。(For MATLAB binocular vision processing, we can get the depth map after obtaining camera parameters in the early stage.)

本压缩包包含了图像处理中稀疏表示的相关文献以及相关代码(This archive contains a sparse representation of image processing literature and related code)

c 实现 canny算子(c realize canny )

基于空间几何约束的单目视觉物体测距 基于空间几何约束的单目视觉物体测距(Geometric constraints based on spatial objects ranging monocular vision Geometric constraints based on spatial objects ranging monocular vision)

有关于数字图像处理基础内容，图像锐化，图像平滑，图象旋转，dct变换，idct变换

FCM是一种实用的算法，在医学图像分割中被广泛应用，有很多的改进措施，本程序是基于FCM来分割MRI人脑图像(MRI brain segmentation using FCM)

实现基于颜色的Kmeans图像分割，只是需要自己设定聚类中心数目，聚类中心初始化采用Kmeans++(Kmeans image segmentation based on color, but need to set the number of cluster centers, clustering center initialization using Kmeans++)

detection different object in video an moves with high accuracy

图像修复是图像处理的一个重要问题。这是一个困难的问题，同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息，基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构，利用小波子图像转变。然后，地区结构中缺少的信息的子图像重建曲率驱动扩散（CDD），算法，而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后，恢复的图像，通过重组，结构和纹理恢复的结果。大量的实验表明，该算法可以快速，高效地恢复在同一时间的结构和纹理信息，视觉效果和峰值信噪比比（PSNR）比同类算法更好。(Image inpainting is an important problem image processing. It is a difficult problem to simultaneously fill-in the texture and structure in regions of missing image information. In order to inpaint the damaged image with both missing the structure and texture information, an image inpainting algorithm based on wavelet decomposition is presented. First the damaged image is decomposed into structure sub-image and texture sub-image using the wavelet transformation. Then, the sub-image with the region of missing information in the structure is reconstructed by Curvature-Driven Diffusions (CDD) algorithm, while the same region in the texture sub-image is filled-in with the improved texture synthesis based on exemplar Finally, the restored image is given by recombining the structure and texture restored results. A large number of experiments show that the proposed algorithm can quickly and efficiently restore the structure and texture information at the same time, and the visual eff)