swt_enhance_main

K近邻(KNN)平滑滤波器算法，包括椒盐噪声和高斯白噪声下平滑处理的结果(K-Near Neighbor (KNN) Smoothing Filter Algorithms, Including Smoothing Processing Results under Salt and Pepper Noise and Gauss White Noise)

说明：  实现SURF图像匹配，并将图片进行扭曲处理再次实现匹配。(Surf image matching is realized, and the image is distorted to achieve matching again.)

基于CFA（颜色滤波阵列）插值检测的图像篡改检测程序(Image tamper detection based on CFA (color filter array) interpolation detecting.)

读取单幅envi图像格式的img图像，并将其显示出来(read img)

图像处理中的图像几何校正，使用MATLAB编程(Image geometric correction in image processing, using MATLAB programming)

运用openCV编写的C++图像色彩转移程序，原理是先转化到Lab图像，再保持L不变调整图像的a、b分量的均值跟方差。(Using openCV prepared C++ image color transfer process, the principle is first converted to Lab image, and then adjust the image to keep L constant a, b, with the mean variance component.)

基于均值法的背景建模的前景目标提取。适合刚接触这一块的人。(Background modeling method based on mean foreground object extraction.)

关于超分辨率图像恢复的凸集投影算法，运行结果正确。(code about super-resolution based on POCS)

本例中主要使用四个区模糊函数对图像去模糊，分别是deconvwnr、deconvreg、deconvlucy、deconvblind。这四个函数分别适合不同的情况，对模糊图像的恢复效果也不同(In this case the main use of the four areas on the image to the fuzzy ambiguity function, respectively deconvwnr, deconvreg, deconvlucy, deconvblind. These four functions are appropriate for different situations, the recovery of the blurred image effect is different)

利用稀疏表示进行图像去噪时，需要生成两种学习字典，该源码比较了生成的两种字典的优劣(Denoising sparse representation, it is necessary to generate two learning dictionary, which compares the generated source code of the merits of two dictionary)