Mode1

说明：  用光流法估计图像的运动，基于像素点的算法(Light flow method estimates the image campaign, pixel-based algorithm for point)

基于双目视觉的三维重建，包含了重建过程中的基本步骤。(Binocular vision-based three-dimensional reconstruction, including the reconstruction of the basic steps of the process.)

改进SIFT算法，用于光学图像和SAR图像配准(Improved SIFT methods for Registration of Optical and SAR image.)

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)

说明：  对数据的独立性进行分析，对数据的预处理（中心化和白化处理）(The independence of data analysis, data pre-processing (center-based and the whitening process))

水平集方法的图像边缘检测算法，包括参考论文和matlab的demo及其测试图像(Level set method of image edge detection algorithm, including the reference papers and matlab the demo and test images)

about algorithms of image enhancement processing

关于图像融合的工具箱，从国外网站上找到的，很好用，可以作为对比实验时使用。包含一些需要处理的源图像。(On image fusion toolbox, from abroad to find the site, very good, and can be used as a comparative experiment. Contains a number of source images need to be addressed.)

estimate shape of a noisy image from the shading information

对灰度和真彩色位图实现了多种边缘提取算法(Of gray-scale and true color bitmaps to achieve a variety of edge detection algorithm)