imnoise2

说明：  LMMSE图像超分辨率重建，基于先验知识的图像超分辨率重建(LMMSE image super-resolution reconstruction, image super-resolution reconstruction based on prior knowledge)

用于计算两幅图片之间的峰值信噪比，从而衡量图片重建质量(It used to calculate the peak signal to noise ratio between the two pictures, which measure the quality of the reconstructed image)

这是针对波前编码成像系统模拟，以及图像复原模拟代码(this is the wavefront coding image processing code of WFC optic system. it is very useful in WFC syetem for research .)

c#编写的图像平滑处理，源码比较全，可以成功编译，希望对大家有帮助。(c# prepared by the image smoothing, source code comparison, can be successfully compiled, we want to help.)

通过sift算法进行图像配准，配准效果好，精度高(Image registration algorithms sift through the good registration results, high precision)

基于sift的图像拼接算法，使用matlab实现(Sift-based image mosaic algorithm implementation using matlab)

分段函数的图形画法。用matlab画分段函数，并有图形结果，大家可根据需要修改方程(Sub-function graphic painting. Matlab piecewise function with the painting, and graphic results, we can modify equation)

opencv函数包，用于matlab调用(opencv function package, calls for matlab)

说明：  图像评估指标FSIM，传统全参考图像质量衡量标准FSIM（feature similarity），仿效SSIM的计算构成，同样由两部分耦合的幂指数，FSIM由PC项和GM项耦合(FSIM, the traditional full reference image quality measurement standard (FSIM), is composed of two parts of power index, FSIM is composed of PC term and GM term)

基于ransac的椭圆检测，对于一组随机的椭圆点，可以得到椭圆参数，检测精度高。(Based ransac ellipse detection, for a group of random elliptic points, you can get an ellipse parameters, high detection accuracy.)