Two_Dimensional_Spectral_Estimation

matlab输入两幅图像，最直接简单地计算图像psnr，高手者请跳过(matlab input two images, the most straightforward to calculate the image psnr, you are invited to skip)

转：https://blog.csdn.net/jinshengtao/article/details/26278725 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。 在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)

说明：  本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料(this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information)

利用光流法在复杂场景下对运动目标进行检测(Using the optical flow method to detect moving objects in complex scenes)

视频格式转换 这里主要是mpeg格式 转化为avi，yuv等多种格式(Video format conversion here is mainly converted to avi mpeg format)

傅里叶梅林变换实现图像配准，对旋转，缩放，剪切，平移都有效(Fourier Mellin Transform for image registration, valid for rotation, scaling, cropping, shifting)

一种鲁棒性较强的提高图像阴影区域质量的图像增强技术，LITAO(A Robust Image Enhancement Technique for Improving Image Visual Quality in Shadowed Scenes)

两个l1准则下的噪声干扰信号压缩感知重构举例，两个例子的稀疏矩阵均为DCT矩阵，而观测矩阵分别采用单位阵和随机矩阵，有详细的步骤和使用方法，适用于初步的学习压缩感知方法。(This programme supply two examples by Compressed sensing with l1 norm. The sparse matrix of two examples are all DCT matrix and the obsever matrix are unit matrix and random matrix respectively. We give the detailed usage and steps for the programme which is useful to the beginner.)

图象数据透明化源码，主要使用两种方法使图象透明显示：一种是用画板载入画图片，画出方式选择透明白色；另一种是将图象数据字节集化，并按高度和宽度逐一改变颜色使颜色透明。(Transparent image data source, the main use of the image transparent display two methods : one is to use Sketchpad loaded Picture , Draw Mode Select transparent white; the other is a set of bytes of image data , and press)

角点检测程序，能够标记出图像中的角点。角点检测是图像匹配对第一步(corner detection procedures can mark up images of the corner. Corner detection is the first step in image matching)