Saliency-Detection

说明：  去除图像中的横向条纹，能有效恢复出原始图像(remove images of horizontal stripes, can be effectively restored from the original image)

使用VC++ 6.0 和 OpenCv实现粒子滤波目标跟踪算法，主要功能在MFC对话框内实现。(particle filter object tracking)

这是一个专门为菲涅尔衍射设计的一个仿真程序！参考光为平面波！本人测试过，没有问题存在！(This is a design specifically for the Fresnel diffraction of a simulation program! A plane wave reference beam! I tested, no problem!)

基于提升算法的53小波matlab算法，简单，易于初学者学习图像处理。(On the basis of promoting the algorithm and wavelet matlab algorithm, simple, easy to beginners learning image processing.)

YUV Quantization using VS2010

DCT 数字水印 VC源代码 DCT 数字水印 VC源代码(DCT digital watermarking VC source code DCT digital watermarking VC source code)

基于TensorFlow图像处理的小测试，里面的代码自己尝试过都可以运行。(Based on the TensorFlow image processing test, the code can run if it has tried.)

进行图像格式的转换，可以由bmp转换为tif、jpg等格式(Image format conversion, may tif, jpg bmp format conversion by the)

转：https://blog.csdn.net/jinshengtao/article/details/26278725 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。 在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)

图像基础处理——透视矫正的程序代码，把图像还原(Image basic processing- perspective correction code to restore image)