10.1.1.47.5215

编程实现二维8*8图像块的DFT，DCT变换 输入一副RGB图像，将其转化为YCbCr颜色空间，然后对Y分量做分块DFT变换，保存为灰度图像，统计计算时间 编程实现8*8块DCT变换,然后分别显示，当使用64个DCT系数里面的一些系数进行重构，比较其质量；同时熟悉采用FFT来实现DCT变换的思想，并显示2维8*8DCT变换的基函数图像(Programming the DFT, DCT transform of two dimensional 8*8 image block Input a pair of RGB images, transform it into YCbCr color space, then divide the Y component into block DFT transform, save as gray image, and calculate the calculation time The 8*8 block DCT transform is implemented by programming, and then it is shown that when using some coefficients in 64 DCT coefficients, the quality is reconstructed. Meanwhile, the idea of DCT transformation is familiar with FFT, and the base function image of the 2 dimensional 8*8DCT transform is displayed.)

基于JPEG压缩的无参考图像质量评价算法，输入一幅图像，输出图像的评价值，值在0-100之间，越接近0图像的质量越好(JPEG-based compression algorithm for no-reference image quality assessment, an input image, the output image uation value, a value between 0-100, closer to 0 the better the image quality)

利用高斯混合模型进行视频前景运动目标的提取！请使用自己的AVI文件。(extract the foreground moving object using the Gaussian mixture model)

利用最小二乘法实现图像变形,提出一种基于控制曲线集的移动最小二乘图像变形算法。根据图像的形状拓扑关系或轮廓信息设置点，生成控制曲线，移动控制曲线生成图像的仿射变换、相似变化、刚性变换。 (The technology of image deformation.Using Moving Least Squares.)

本程序包是基于多分辨率分析的图像融合算法，其中包括基于区域的融合算法。对应程序有相关的文章，是学习图像融合最有用的资料。(This package is based on the analysis of multi-resolution image fusion algorithms, including region-based fusion algorithm. Procedures related to the corresponding articles, image fusion is to study the most useful information.)

利用ItextSharp进行签名

自己写的计算一副图像重心的小程序，绝对有用。(Write their own calculation of an image center of gravity of small procedures, absolutely useful.)

信息融合滤波算法，基于IMM完成匀速—加速—匀速单运动目标跟踪。(Information fusion filter algorithm based on IMM to complete the uniform and accelerate uniform single moving target tracking.)

内容为《基于偏微分方程的图像处理》一书的实验教程。 (Content as a )

说明：  二维码识别，matlab代码，内附二维码，内有界面，选择输入，注意输入顺序！(Two dimensional code identification, matlab code, two-dimensional code inside, interface inside, select input, pay attention to the input sequence!)