hdr

利用小波变换的去噪程序！和中值滤波进行对比！(The use of wavelet transform denoising procedure! And median filtering comparison!)

非锐化掩膜,用于DR图像的对比度增强算法，这只是一个简单的算法过程，(unsharp masks)

从xsl文件中读入数据并计算其wigner_ville分布，内含详细说明。(Xsl file reads from the data and calculates its wigner_ville distribution, containing detailed instructions.)

Onvif设备搜索 示例源码

说明：  基于SURF算法实现图像特征提取与描述，使用RANSAC进行图像细配准(SURF algorithm was used to extract and describe image features, and RANSAC was used for image registration)

抗旋转攻击的数字水印方法，其鲁棒性和不可视性都有很强改进，尤其在抗旋转攻击方面。(Digital watermarking anti-rotation attack, its robustness and visibility has a very strong improvement, especially in the anti-rotation attacks.)

基于matlab的时频率分析工具箱，包括了小波变换，WVD，SPWVD等等好多的时频分析方法(Matlab-based time-frequency analysis toolbox, including a wavelet transform, WVD, SPWVD so many time-frequency analysis method)

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).)

tiff格式的lena原图，该图像包含了各种细节、平滑区域、阴影和纹理，这些对测试各种图像处理算法很有用。(Lena artwork in TIFF format,The image contains a variety of detail, smooth areas, shadows, and textures, which are useful for testing various image processing algorithms.)

彩色位图转黑白位图代码。何东健《数字图像处理》随书光盘提供的源码。(color bitmap to black-and-white bitmap code. Dong- Jian "Digital Image Processing" With the CD source.)