sgfilter

这是SPAMS的原始代码，是稀疏表示的重要工具箱~(This is SPAMS original code, is an important toolbox sparse representation)

傅里叶梅林变换，图像处理的基本内容，易学易懂(Fu Liye Mellin transform, the basic content of image processing, easy to learn and understand.)

活动目标检测源码,用混合高斯算法编写，适用于复杂场景视频监控(alive target detection，used in GMM algorithm)

在matlab环境中用快速傅里叶变换实现多目标追踪，计算的非常快(Matlab environment using the fast Fourier transform to achieve multi-target tracking, very fast calculation)

灰度或彩色多模态医学图像的融合，利用加权平均融合算法，程序具体很好的通用性，并且提供几种图像融合客观评价指标，还给出3组宝贵的已配准医学图像(Color gray or fusion multimodal medical images, using a weighted average fusion algorithm, program specific good versatility and provide an objective uation of several image fusion, the three groups are also given valuable medical image registration has been)

说明：  图像增强的目标是改进图片的质量，例如增加对比度，去掉模糊和噪声，修正几何畸变等；图像复原是在假定已知模糊或噪声的模型时，试图估计原图像的一种技术。 图像增强按所用方法可分成频率域法和空间域法。前者把图像看成一种二维信号，对其进行基于二维傅里叶变换的信号增强。采用低通滤波（即只让低频信号通过）法，可去掉图中的噪声；采用高通滤波法，则可增强边缘等高频信号，使模糊的图片变得清晰。具有代表性的空间域算法有局部求平均值法和中值滤波（取局部邻域中的中间像素值）法等，它们可用于去除或减弱噪声。 (A sharp and clear image is not directly produced from the optics, however, digital signal processing applied to the sampled image produces a sharp and clear final image that is also insensitive to misfocus related aberrations. This paper gives an overview of Wavefront Coding and example images related to the two applications of machine vision/label reading and biometric imaging. Design techniques of Wavefront Coding are unique from that of traditional imaging system design since both the optics and digital processing characteristics of the system are jointly optimized for optimum system performance.)

在已知高度的情况下利用单目视觉摄像头来进行定位。(Positioning with a monocular vision camera at a given height)

ISAR成像的最实用教材,采用matlab语言编写，包括源码(The best book about ISAR imaging,in matlab with resource codes)

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.)

这是一种对TV模型算法的一种快速改进算法，C++实现，在Code::Blocks下编译成功(This is a TV model algorithm for a fast algorithm, C++ achieve, in the Code :: Blocks compile successfully under)