几种经典的图像噪声方差估计方法

该代码描述了一种用Gar小波进行纹理特征提取方法，可用于图像分析、视频处理、以及模式识别前期建立模式向量。(The code describes a texture with Gar wavelet feature extraction methods can be used for image analysis, video processing, and pattern recognition pre-established pattern vector.)

SAR成像算法的分析； SAR成傢算法简要介绍 ；Chirp-scaling算法 ； 分布式小卫星SAR解方位多普勒模糊的点目标仿真； 分布式小卫星SAR成像的仿真参数 ； 点目标成像仿真及结果 (SAR imaging algorithm analysis SAR algorithm married briefly Chirp-scaling algorithm distributed small satellite SAR azimuth Doppler ambiguity solution point target simulation distributed small satellite SAR imaging simulation parameters Point Target Imaging Simulation and results)

超高斯光束在自由空间中的衍射传播，利用角谱理论。(Super-Gaussian beam diffraction propagation in free space, the use of the angular spectrum theory.)

python实现的三维空间维罗尼图算法演示。(3d voronoi use python)

说明：  盲迭代反卷积算法，可以在不求PS的情况下恢复图像(Iterative blind deconvolution algorithm, can not seek restoration of the PS images)

图像处理-人脸识别技术：识别出图像中人物的五官形态，从而达到识别人脸的目的。(Image Processing-Face Recognition Technology)

图像的中值滤波源码例程程序结合易语言数值计算支持库和图像格式转换支持库，调用正态分布图像处理模块实现图像的中值滤波功能。(Image median filtering routine program combined with easy language source numerical support libraries and image format conversion support library , call the normal image processing module median filtering images.)

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)

Hough检测直线,圆,椭圆的代码，用hough变换实现圆的检测，能完美检测出图像中的圆、直线和椭圆(Hough detection of straight line, circle, ellipse, code, hough transform circle detection can be perfect in the detected image of circles, lines and ellipses)

该代码用于实现视觉目标跟踪研究中的协方差跟踪，能够把多种时空特征融合于统一的模型中，在实现视觉目标跟踪时具有较好的鲁棒性，而且其维数等于使用特征的数量，与各个特征的维数无关，因此，其计算复杂度较小，实时性较好。(This code is used to realize covariance tracking in the research field of visual object tracking of computer vision. It enables fusion of various spatial-temporal features into an unified object feature model, hence robust to noise. In addition, its dimension is equal to the number of the features used and independent of the dimensions of the features used. Therefore, it satisfies the requirement of real-time application due to its low computation cost.)