source-KALMMN

说明：  图像超分辨是目前国内外研究的热点，该算法主要用于光学图像的超分辨(Image super-resolution is the study of hot spots at home and abroad that the algorithm is mainly used in optical image of the super-resolution)

说明：  该程序实现的功能是：图像反色，线形变换，对于图像处理初学者非常实用。(The realization of the program)

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.)

人耳识别，包含图像预处理，图像特征点的提取，比较实用(Ear recognition)

srad斑点去噪各向异性扩散滤波器,代码很短，本身该方法就含有不少的偏微分方程，看懂需要仔细研究。(srad, speckle denoising anisotropic diffusion filter)

photoshop的各个效果的详细介绍，方便研究photoshop的各种算法，值得一看啊！！(photoshop detailed description of the various effects, photoshop various algorithms to facilitate research, worth ah! !)

说明：  sar图像滤波方法，其中的kuan滤波方法，希望有用(sar image filtering method, which Youkuan filtering, in the hope of useful)

通过对于CT图像的读取来进行三维的脑部显示，有助于学习基于matlab的CT图像三维重建过程(Conducive to learning through the reading of CT images to three- dimensional brain display matlab- based CT image 3D reconstruction process )

单目标定很好用的程序，对于单目摄像机的一个标定。张正友博士的方法，对于摄像机标定，切记标定板不能用手机拍摄，因为手机拍摄是变焦的(Single objective of the program is very good, for a single camera calibration. Dr. Zhang Zhengyou s method for camera calibration, remember that the camera calibration board can not be used to shoot the phone, because the phone is to shoot a zoom )

单帧图像超分辨率重建。对于学习超分辨率重建很有帮助。(Super-resolution reconstruction of single frame image.It is helpful for learning super-resolution reconstruction.)