MutualInfo

基于SIFT的图像配准程序 SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力(Hot and difficult of the current research areas of domestic and foreign feature point matching based the SIFT image registration program SIFT feature matching algorithm is its ability to match between the two images, can handle translation, rotation, affine transformation case match problem, even in some degree images taken at any angle with more stable feature matching ability)

基于mind相似性度量的图像配准，配准精度很高。效果不错。(Mind based on similarity measure of image registration, the registration precision is high. The result is right.)

说明：   针对雾天下拍摄图像的退化现象，远景部分是一块灰度分布比较集中且接近天空亮度的区域，而近景部分可以分辨，其灰度分布比较分散。提出了一种基于遗传算法阈值分割的雾天图像增强方法；该方法首先用遗传算法求出近远景的分割阈值将图像分割[1]出来，然后对两个部分分别进行清晰化处理。(make the picture clear)

这是图像运动补偿中的进行运动补偿估计的常用程序算法matlab实现(This is the image motion compensation in the exercise of compensation is estimated to achieve common procedures algorithm matlab)

这是基于图像处理，用MATLAB编程，对指定的图像进行缺陷检测和边缘提取的程序(This is based on image processing, using MATLAB programming, the images on the specified defect detection and edge extraction procedures)

将原始影像分别对RGB三色彩进行 x与 y轴之 Sobel边缘处理(original RGB images were of three colors for x and y axis of his Sobel Edge)

用matlab产生高斯，椒盐，泊松噪声图像的完整代码(poisson, gossip,noise,salt&pepper)

给定原图像和降噪或者加了噪声之后的图像，计算峰值信噪比PSNR(calculate PSNR)

比较反滤波和维纳滤波对一幅图像复原的效果。从两方面出发，一是对运动模糊和均值模糊复原的能力，二是抗噪能力，各种情况分别都进行了对比(Comparison of inverse filtering and Wiener filtering on an image restoration results. Proceed in two ways, first on the motion blur and the mean fuzzy recovery capability and noise immunity, all cases are compared separately)

赵巨峰，陶小平，*冯华君，徐之海，李奇, 基于梯度的波纹图像质量评价 [J], 浙大学报工学版, 2010, 44(5):870-874.(Gradient based ripple image quality assessment)