txt云数据

实现了一个二维小波分解、重构程序，对一副16*16的数字图像进行了二层小波分解和重构。(A two-dimensional wavelet decomposition and reconstruction program is implemented, and a 16*16 digital image is decomposed and reconstructed by two-level wavelet.)

对深度图像进行滤波、渲染和着色，更加可视化(depth image visualition and filtering for coming 3D reconstruction)

连连看源代码及素材，丰富图片资源，适合初学者，大家一起来交换素材吧(Lianliankan source code and material, rich images of resources, suitable for beginners, everyone will work together to exchange material bar)

全景图像拼接，小例子，对初学者有用。 将txt中代码复制到m文件就可以了。(Panoramic image stitching, small example, be useful for beginners. The code in the txt file is copied to m do.)

基于混合高斯的运动目标检测程序已经相应的文章！非常值得借鉴！(Gaussian mixture-based moving object detection procedures have been the appropriate article! Well worth learning!)

此程序是基于互相关的亚像素级图像匹配的代码，此种配准方法误差小，精度高。(This procedure is based on the cross-correlation of sub-pixel image matching of the code, such a registration method error and high accuracy.)

说明：  编程实现灰度图像的频域滤波算法。使用Matlab实现不延拓和延拓两个版本。对于延拓和不延拓版本，在理想低通滤波器、巴特沃斯低通滤波器和高斯低通滤波器上比较两者的区别；对于延拓版本，比较不同参数设置对上述三种滤波器滤波结果的影响。(Program to realize the filtering algorithm of gray image in frequency domain. Matlab is used to realize two versions of no extension and extension. For the extension version and the non extension version, the differences between the ideal low-pass filter, Butterworth low-pass filter and Gauss low-pass filter are compared; for the extension version, the effects of different parameter settings on the above three filter results are compared.)

图像复原，实现inverse Filter, Wiener Filter, Lucy-richardson 算法，里面包括PPT，代码和报告。非常有价值，是我视觉的大作业。(Image restoration to achieve inverse Filter, Wiener Filter, Lucy-richardson algorithms, which include the PPT, the code and reporting. Is very valuable, is my vision of the big job.)

说明：  基于信息熵进行图像质量评价，评价图像质量好坏。流程简单易于操作(Image quality evaluation based on information entropy)

视频水印嵌入算法源程序（VC实现，对话框界面），对于做视频水印的同志可在此基础上进行自己的创新工作。(video watermarking algorithm source code (VC, the dialog interface), for doing video watermarking comrades in this on the basis of their innovation.)