FVC2004

滤波器图像增强的matlab算法实现程序。本人自己给出的程序代码(gabor wavelet matlab algorithm. Program code given by the original author)

这是一个matlab tld算法，供大家参考(This is a matlab tld algorithm, for your reference)

一种基于稀疏表示的图像融合方法，基于论文《Information Fusion》论文Joint patch clustering-based dictionary learning for multimodal image fusion 进行编写 结果相似(A sparse based image fusion method. It is based on paper Joint patch clustering-based dictionary learning for multimodal image fusion of Information Fusion The results is almost the same to this paper)

深度图提取，对双视点的图像进行深度信息的提取，以及三维立体中常用的一些程序。(Depth map extraction, the double viewpoint image depth information extraction, and three dimensional commonly used in some of the program. )

变化检测是从不同时期的遥感数据中定量分析和确定地表变化的特征与过程；遥感变化检测是一个确定和评价各种地表现象随时间发生变化的过程；遥感变化检测是遥感瞬时视场中地表特征随时间发生的变化引起两个时期影像像元光谱响应的变化(Change detection is the characteristic and process of quantitative analysis and determination of surface variation in remote sensing data different periods. Remote sensing change detection is a process of determining and uating various surface phenomena over time. Remote sensing change detection is the change of the surface feature over time in remote sensing instantaneous field.)

说明：  很好用的三维重建软件，VisualSFM软件允许上传一系列图像，它从这些图像中找到每一个图像的特定特征，利用这些特征信息重建出3D模型的稀疏点云，而后还可进行稠密点云重建。(The VisualSFM software, a good 3D reconstruction software, allows uploading a series of images. It finds the specific features of each image from these images, and USES these feature information to reconstruct the sparse point cloud of the 3D model, and then it can reconstruct the dense point cloud.)

说明：  用Lorenz序列进行彩色图像加密，加密效果良好，性能得到较大提升(Using Lorenz sequence to encrypt color image, the encrypting effect is good and the performance is greatly improved.)

说明：  使用matlab编写的源程序 高斯噪声产生的源代码(prepared by the use of Matlab source Gaussian noise source)

外国人编写的实现谱聚类算法，执行速度较快，效果不错~(Foreigners prepared to achieve spectral clustering, perform faster, the effect is good ~)

说明：  四叉树程序，图像处理，要做这个的可以看看(Quadtree procedures, image processing, that can do this look)