contract

叠加平均去噪过程的实现，信号产生，加噪，去噪效果的显示(Average denoising, signal generation, noise addition, display the denoising effects)

一种采用中心环绕函数进行的retinex算法，可以对于暗视觉的图像进行有效的增强(A center around the functions of the Retinex algorithm, can for scotopic vision image effectively enhanced)

对图像进行平滑去噪，提高图像的质量，为后期的图像处理打基础(very good)

说明：  图像融合指标，综合熵、空间频率、互信息等等，一共7种。在图像处理后的质量评价方面很有用(Fusion index, comprehensive entropy, spatial frequency, mutual information, etc., a total of 7 species. In the image processing is useful for quality assessment)

图像灰度化处理、图像柔和处理、图像锐化处理(Grayscale image processing, image gentle processing, image sharpening)

Multi-Scale Structural Similarity Index (MS-SSIM). Download here. Please cite the following paper in any published work if you use this software. Z. Wang, E. P. Simoncelli and A. C. Bovik, "Multi-scale structural similarity for image quality assessment," IEEE Asilomar Conference Signals, Systems and Computers, Nov. 2003.

该代码用于实现视频监控/视觉监控/视频智能监控/视觉智能监控，具有友好的人机交互界面。在工作时，利用连接在计算机上的摄像头取得视频图像，通过背景减除、滤波、二值化处理、识别等技术，实现对视频目标的监控。(This code is applied to visual surveillance/video surveillance/visual intelligent surveillance/video intelligent surveillance which has a friendly human-machine interface. When working, it detects objects in video using some techniques containing background subtraction, filter, binarization, and recognition. )

通过点云数据的格网化，建立格网分块索引，这是一种有效的点云数据存储方式。( Through the point cloud data grid , the establishment of a grid block index, which is a valid point cloud data storage. )

k-svd算法m代码.用于形成冗余字典，对图像进行稀疏分解(m k-svd algorithm code used to create a redundant dictionaries, sparse decomposition of images)

用MATLAB产生高斯白噪声，并画出其时域波形、自相关函数和功率谱。(MATLAB white noise)