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图像配准算法打包，包括很多经典的配准算法(Image registration algorithm，include many classical registration algorithm)

孔径雷达图像固有的相干斑噪声严重降低了图像的可解译程度，影响了后续目标检测、分类和识别 等应用。因此，SAR图像的相干斑抑制问题一直是SAR图像应用的重要课题之一。一个理想的去斑算法应该在平 滑的同时保持图像的边缘等细节不受损失，目前存在各种各样的算法，但没有一种方法能够完美的满足这一要求。 本文对SAR图像的相干斑抑制问题进行了全面系统的研究，分析了相干斑的形成原因，总结了目前存在的相干斑 抑制算法的主要思路，介绍了具有代表性的算法，并对各种算法的性能进行了定性分析和比较，给出了去斑算法定 量评估方法(The inherent speckle noise of the aperture radar image seriously reduces the degree of interpretation of the image, and affects the detection, classification and recognition of the subsequent targets. And other applications. Therefore, the problem of speckle suppression in SAR images has been one of the most important topics in the application of SAR images. An ideal speckle algorithm should be flat At the same time, the details such as edges of images are not lost. There are various algorithms at present, but none of them can satisfy this requirement perfectly.)

基于低频融合策略的小波图像融合算法 ，高频系数融合均采用基于像素点绝对值取大的规则(Wavelet image fusion algorithm based on low-frequency fusion strategy, integration of high-frequency coefficients are based on the absolute value of the pixel point to take a big rule)

干涉SAR图像配准程序，matlab编的，很好用！(Interferometric SAR image registration procedures, matlab, and easy to use!)

FDK重建算法，是CT三维重建的解析方法，是近似重建(FDK reconstruction algorithm, which is a CT three dimensional reconstruction analysis method, is the approximate reconstruction )

用MATLAB实现的darkchannel算法，实现图像去雾(Image Haze Removal Using Dark Channel)

使用canny边缘检测算法，提取图像轮廓(Canny edge detection algorithm is used to extract image contour.)

2维图像的透视变换，空间变换，可对拍摄的图像进行几何校正(Perspective transformation, the two-dimensional image space transformation, the geometric correction of images taken)

采用协方差的方式计算相关系数，分析图片的相似性，然后对图像进行匹配(The covariance of the way of calculating the correlation coefficient, and analyze the image similarity, and then to do image matching )

这是用matlab编写的图像缩放代码，能实现灰度或者彩色图像的放大缩小以及小数倍。使图像处理初学者的好材料(This is used to prepare the image scaling matlab code, to achieve gray scale or color images and small many times zoom. Image processing to make a good material for beginners)