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在静态背景下的运动目标检测程序，在windows 7 系统下运行的MATLAB版程序代码(moving object detection)

非局部平均，用来去除灰度图里面的噪声，效果明显(Probability Non-Local Means)

本算法有图像融合算法，聚类分析算法，去噪算法，运动模糊算法(This algorithm with image fusion algorithm, clustering analysis algorithm, the denoising algorithm, fuzzy algorithm)

自己用matlab写的灰度图像压缩解压程序 jpegencoder可以打开图像压缩后存储为c.jpg（只限于灰度图像） jpegdecoder只适用于把jpegencoder的c.jpg解压，还不可以对任意图像解压，有待以后完善 作者 ar_dong(jpegencoder jpegdecoder author ar_dong)

这篇论文对于Gabor小波分析的说明特别详细，非常有利于我们理解(This paper is particularly detailed for the description of Gabor wavelet analysis, which is very helpful to our understanding.)

先进行高斯金字塔分层，在拉普拉斯分解，最终将两幅局部有模糊的图像进行融合，最后显示清晰图像。(First Gaussian pyramid stratification, in Laplace decomposition, the final two local fuzzy image fusion, and finally show a clear image.)

自己编写的SLIC超像素分割，包括图片，论文(SLIC superpixel algorithm written by myself)

说明：  一个基于帧差法的matlab行人检测程序(A matlab pedestrian detection program based on frame difference method)

于轻小型光学成像系统，小孔径限制了 图像的极限分辨率，衍射退化造成了截止频率外信息的丢失成像系统所期望的 大视场不可避免的带来边缘视场的像差恶化，各视场退化情况不同，影响信息的 判读 (Small light optical imaging system, the small aperture limit the ultimate resolution of the image, diffraction degradation aberration deterioration of the desired cutoff frequency outside the loss of information imaging system field of view inevitably bring the edge of the visual field, each referred to as field degradation, affecting the interpretation of the information)

说明：  数字图像处理常用程序，包括图像读取、显示、详细信息，对图像文件格式转换，RGB分量显示，索引图像、伪彩色图像、真彩色图像显示，灰度直方图处理，图像灰度变换，均衡化处理，图像加噪声处理，均值滤波、中值滤波，图像加减乘除运算，图像放大，插值拟合，旋转，多种边缘检测方法，高通滤波，低通滤波，带通滤波，维纳滤波，运动模糊等处理。(Common digital image processing programs, including image reading, display, detailed information, image file format conversion, RGB component display, index image, pseudo color image, true color image display, gray histogram processing, image gray transformation, equalization processing, image plus noise processing, mean filtering, median filtering, image plus, subtraction, multiplication and division, image amplification, interpolation Fitting, rotation, multiple edge detection methods, high pass filtering, low-pass filtering, band-pass filtering, Wiener filtering, motion blur and other processing.)