Gscale

文档里，给出了基于交互式多模型方法的目标跟踪原理建模的方法，并附带了分析和仿真程序，很不错的，值得下载学习(Documentation, tracking principle gives the modeling method based on the target interactive multiple model approach, and comes with analysis and simulation procedures, very good, it is worth learning download)

说明：  相位恢复算法,gs算法，适用于双强度测量的相位恢复问题(a phase retrieval algorithmn-gs using MATLAB)

一种用于用于进行图像隐写分析的算法的源代码，主要是基于最低有效位检测这一方面研究的(Used for the image of a steganalysis algorithm source code, mainly detection based on the least significant bit of research in this)

说明：  小波变换是图像的多尺度、多分辨率分解，它可以聚焦到图像的任意细节，被称为数学上的显微镜。近年来，随着小波理论及其应用的发展，已将小波多分辨率分解用于像素级图像融合。把两个正交偏振的图片融合(Wavelet transform is the multi-scale and multi-resolution decomposition of an image. It can focus on any detail of the image and is called the mathematical microscope.In recent years, with the development of wavelet theory and its applications, wavelet multi-resolution decomposition has been applied to pixel-level image fusion)

curvelet transform and ridgelet transform source code

它所描述的是不同色彩在整幅图像中所占的比例，而并不关心每种色彩所处的空间位置，即无法描述图像中的对象或物体。颜色直方图特别适于描述那些难以进行自动分割的图像。(It describes the proportion of different colors in the entire image, and does not care about the spatial location of each color, that is, it can not describe objects or objects in the image. Color histograms are especially suitable for describing images that are hard to segment automatically.)

说明：  基于surf算法的复制移动检测，此方法适合图像伪造研究者初级实验(Replication mobile detection based on surf algorithm)

说明：  利用matlab构成的GAN自动生成网络，网上大牛做的觉得挺好就放上来了，献给需要的人(Using matlab constitute GAN automatic generation network, online cattle do feel good put up, dedicated to the need of people)

关于基于Kruppa方程的摄像机自标定方法的两篇论文，相对于传统的标校方法，是一种新的相机自标定技术(About Kruppa equation based camera self-calibration method of two papers, as opposed to the traditional Calibration Method is a new camera self-calibration technique)

这本教科书，介绍了稀疏和多余的申述，对信号和图像处理应用的重点。的理论和数值基础处理前的应用进行了讨论。信号源的数学建模一起讨论如何使用适当的模型，如去噪，恢复，分离，插值和外推法，压缩，采样，分析和合成，检测，识别，多任务。这次报告会是优雅和迷人的。(Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing )