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给定一幅图像，输出其直方图。给定一个线性变换函数(可以输入不同的参数)，实现图像的灰度拉伸；实现对图像的均衡化。 实验测试图像：任意 (histogram；Gray stretch；Image equalization)

高斯滤波算法，可用于模糊图片，除掉图片中的高频噪声(gauss fliter to remove high frequency noise for pic )

说明：  对限制对比度自适应直方图均衡化算法adapthisteq进行了解释。可用于图像增强(Contrast to the limited adaptive histogram equalization algorithm adapthisteq is explained. Can be used for image enhancement)

结构张量来进行自适应正则化图像重建，单幅图像重建(Structure tensor adaptive regularized image reconstruction, a single image reconstruction)

matlab图像处理中中加入椒盐噪声的源代码。(add salt and pepper noise matlab source code.)

程序将界面与数据处理分开，界面采用MFC的对话框模板，对注册、训练、识别和主界面分别建立一个类，通过消息处理函数与用户进行交互，利用多线程来实时显示图像。 数据处理又分为了CFaceAlign（人脸检测+几何归一化）、CLightPrep（光照归一化）、CFaceFeature（Gabor特征提取）、CSubspace（计算Fisherface子空间）四个类，还有一个类 CFaceMngr 负责管理界面与数据之间的交流。这样的程序结构使对界面和算法彼此独立，互不影响。 每个类的具体方法请见相应头文件中的注释。(The program will interface with the data processing separate interface using MFC dialog template, registration, training, recognition and the main interface, respectively, to create a class that interacts with the user through a message handler, using multiple threads to display images in real time.   Data processing is divided into a CFaceAlign (Face Detection+ geometric normalization), CLightPrep (illumination normalization), CFaceFeature (Gabor feature extraction), CSubspace (computing Fisherface subspace) four categories, as well as a class is responsible for managing CFaceMngr interface and data exchange between. Such a program structure allows for interfaces and algorithms are independent of each other. Specific methods of each class, see the comments in the appropriate header files.)

登录账号 admin  密码 111111  wpf做的 oa系统，用的 sqlce数据库

说明：  视频追踪ECO算法源代码以及ECO论文PDF(Video tracking eco algorithm and eco paper pdf)

数字图像处理，dct频谱，低通滤波，高通滤波之后的图像。(Digital image processing, DCT spectrum, low pass filtering, high-pass filtering after the image.)

此代码通过OBMC(重叠块运动补偿)实现了视频插帧运算。利用已有的运动向量和前后两帧图像，通过OBMC算法，求出中间内插帧(This video frame interpolation operator code OBMC (overlapped block motion compensation). Using the existing motion vectors and two of front and rear image is obtained through the the OBMC algorithm, intermediate interpolated frame)