TV-L2-Inpainting

学习使用OpenCV，对输入的一段彩色视频，用OpenCV实现以下功能或要求: 1. 对输入视频的每一帧图像都用同一个阈值进行二值化； 2.在每帧二值化图像上叠加上含自己学号与姓名等信息的版权字幕； 3. 在处理的过程中，实时显示每帧图片处理之后的效果； 4.将所有这些二值化图像按视频原来顺序合成输出一个视频文件，按原输入视频播放速度的两倍合成； 5. 做成如下的命令行格式，xxx.exe 输入视频文件名 二值化阈值 输出视频文件名（例如 MyBiVideo.exe input.avi 50 output.avi ） 这里的二值化有两种选择，可以手动收入阈值，也可以直接用OTSU算法的较优阈值直接二值化。(Learn to use OpenCV, for some color video input, with the OpenCV following functions or requirements: 1. Each frame of the input video images are binarized using the same threshold value 2. superposed on the binarized image of each frame containing the copyright on the number and the name of their own learning subtitles other information 3. During processing, real-time display after processing each frame 4. All of these binarized image by synthesizing the video output of a video sequence of the original document, the original input composite video playback speed twice 5. made the following command line format, xxx.exe input video file name binary threshold value of the output video file name (eg MyBiVideo.exe input.avi 50 output.avi) Here there are two binary choice, you can manually income thresholds, you can directly use the optimum direct binarization threshold through OTSU algorithm.)

基于c5509的jpeg图像压缩实现 ，利用c语言(The jpeg image compression based c5509 achieved using c language)

采用小波变换提取图像特征，对图像特征点进行匹配可以实现畸变图像校正。(Using wavelet transform to extract image features, the image feature points matching can be achieved distortion image correction.)

稀疏表示中字典学习算法KSVD的实现，可以得到冗余字典，代码内部有详细注释(The realization of the sparse representation of a dictionary learning algorithm KSVD, can get a redundant dictionary, internal has a detailed code comments)

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说明：  基于边缘特征的SAR图像与光学图像匹配，测度为Hausdorff距离(SAR images based on edge features and optical image matching, for the Hausdorff distance measure )

一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)

对于MATLAB双目视觉处理中，通过前期获取摄像机参数等后制成深度图。(For MATLAB binocular vision processing, we can get the depth map after obtaining camera parameters in the early stage.)

该程序为一个小型的检索系统，通过提取颜色、边缘等特征进行图片检索。(The program is a small search system that retrieves images by extracting features such as colors and edges.)

图像的纹理分析应用实例,主要可用于模式识别当中(image texture analysis application, which can be used for pattern recognition)