multiregion_fuse

说明：  实现图像重建功能，里面包含三种算法，LBP、LandWeber、共轭梯度算法(Realizes image reconstruction, which contains three algorithms, LBP, Land Weber, conjugate gradient algorithm)

bresenham画直线，WIN32，计算机图形学基础类源代码(bresenham画直线)

连续投影算法的Matlab程序 下载后可以直接使用(Successive projections algorithm )

外国人写的图像融合处理工具以及GUI界面 源代码 相信会对你有所帮助(foreigners write image-processing tools and the integration of the GUI interface believe that the source code will help you)

说明：  增广拉格朗日乘子法ALM算法是机器学习中十分常用且有效的一种优化算法，经常用于低秩和稀疏问题的优化求解中，这个包是增广拉格朗日乘子法的matlab代码(ALM algorithm of augmented Lagrange multiplier method is a very common and effective optimization algorithm in machine learning. It is often used in the optimization of low rank and sparse problems. This package is the matlab code of augmented Lagrange multiplier method)

LMMSE图像超分辨率重建，基于先验知识的图像超分辨率重建(LMMSE image super-resolution reconstruction, image super-resolution reconstruction based on prior knowledge)

基于小波变换的压缩感知图像处理,及三种重构算法.(Compression based on wavelet transform the perceived image processing and three reconstruction algorithm.)

对两幅图像进行相似度计算，基于相似度计算进行模板匹配，带有测试图像，可以直接运行(Calculate the similarity of the two images, the similarity calculation based on template matching, with a test image, you can directly run)

基于彩色信息的道路图象分割,可以有效的去除道路上的阴影.(Based on color information of the road image segmentation, can effectively remove the shadow on the road.)

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)