uwbfft2

说明：  文件有几个基于视网膜的图像增强技术，有SSR，MSR代码(There are several image enhancement technologies based on retina, including SSR and MSR codes.)

基于opencv的相机单目标定程序，很好的学习资源，做图像矫正的可以看看~(Opencv based on a single target of the camera program)

对于一个二值图像骨架化之后进行边缘平滑，滤波，效果非常不错，适合于任何二值图片(After a binary image is skeletonized, it is smoothed and filtered. The effect is very good. It is suitable for any binary image.)

说明：  vc++调用matlab函数混合编程实现二值图像的区域标记。(vc++ call matlab function Matlab binary image of the regional markers.)

说明：  改进了Criminisi算法，采用P-laplace算子作为数据项进行优先级计算，并有计算PSNR的功能(Improved Criminisi algorithm, using P-laplace operator as data items priority basis, and have calculated the functions of PSNR)

可以快速准确的找出光斑、或者任何椭圆形状二值图像的质心(The center of mass of a two value image can be quickly and accurately identified.)

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

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

说明：  可以读取输出浮点型、整型、复数型影像，对于遥感专业的所有影像读入输出MATLAB中有很大帮助。采用振幅离差阈值提取PS点(Can read floating-point, integer, and complex type of image, for all remote sensing professional images into the MATLAB will be very helpful)

基于FRFT的数字图像水印（lena示例）(FRFT based digital image watermark (lena example))