sift-mosaic

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)

meanshift算法的车辆跟踪，效果非常好，改进版的，希望对大家有用(Meanshift algorithm of vehicle tracking, the effect is very good, improved version of the hope of the useful)

实现图像的几何变换，用控制栅格的方法来将一幅变形的图片恢复原型(Image geometric transformation, with control of the grid method to deformation of an image to restore the prototype)

这是2004年一篇重要的角点检测文献的配套Matlab源码。该算法的效果比SIFT、Harris、Susan等算法的检测效果更好。本压缩包中有从Matlab官方网站下载的源码，以及2004年那篇文献，对该算法做了详细解释。(This is 2004, an important corner detection literature supporting Matlab source code. Of the algorithm is better than SIFT, Harris, Susan, such as better detection algorithm. The compressed package from the official website to download the Matlab source code, and in 2004 came across the literature, the algorithm to do a detailed explanation.)

实验图像数据曲线描绘刻画，进行数据拟合：高斯拟合，平滑处理(gaussian nihe)

@Wiener filter for Skull X-Ray images

MAP超分辨率重建算法,实现图像的超分辨率重建。(the MAP code for super-resolution)

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)

噪声估计法，先定位噪声点，再实行去噪处理(Noise estimation method, first locate the noise points, then implement denoising.)

polsarpro官方学习教程，系统的说明了polsarpro软件的操作使用，可进行树高反演，地物分类，已经森林模拟数据生成(polsarpro tutorial note)