SVDdenoise

说明：  matlab实现帧间差分提取运动目标，包含测试视频和运行效果。在背景固定的视频中效果较好。附赠lena图片以供CV学习。(Matlab achieves inter-frame differential extraction of moving objects, including testing video and running effects. It works well in video with fixed background. Enclosed Lena pictures for CV learning.)

crimini算法对图形进行修复，您能够充分的利用空间信息，纹理信息(crimini graph algorithm to repair, you can take full advantage of the spatial information, texture information)

针对多聚焦图像融合，采用基于小波分解和点扩展函数模型PSF相结合的融合方法。(For multi-focus image fusion, based on wavelet decomposition and the point spread function PSF model combining fusion.)

通过一阶重建方法实现总变差的图像算法源码，希望对学习超分辨率的朋友有所帮助。 (Algorithms and software for total variation image reconstruction via first-order methods)

本文首先对数字全息技术的记录和再现的基本原理、数值重建算法、频谱滤波方法，数字全息图的记录条件、再现光场的分离条件等基本问题进行了分析讨论(Firstly, the basic principle of the recording and reproducing of the digital holography, numerical reconstruction algorithm, the spectral filtering method, the digital hologram recording conditions, reproducing conditions of separation of the light field, and other basic issues discussed)

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

这是一个数字图像处理的程序，能够实现目标检测与跟踪，事项了EM算法、是对原有的算法改进。(This is a program of digital image processing, target detection and tracking can be achieved, the matter of the EM algorithm, the improved algorithm is the original.)

均值滤波，高斯滤波，双边滤波以及求PSNR的基本算法(Mean filtering, Gaussian filtering, bilateral filtering and basic algorithms for PSNR of)

【实例简介】C#利用baslerSDK实现相机采集图像  采集图像，设置参数

维纳滤波，图像恢复，通过用matllab编辑的程序实现以上功能-wena (Wiener filtering, image restoration, with matllab editing program to achieve the above functions-wena)