IMAQ-image-pretreatment

基于数学形态学的图像腐蚀程序，用c语言编写，适合初学者理解。(Image based on mathematical morphology erosion process, using c language, suitable for beginners to understand.)

一个简单的雷达动目标检测程序，仅供学习之用。(A simple radar moving target detection procedures, for learning purposes only.)

实现图像自动拼接和匹配，是毕业设计的作品，看看一定会对你有所帮助的！(Automatic image stitching and matching to achieve is a graduate design work, will you take a look at some helpful!)

该上传的256张CT图片是高质量的DICOME格式人类头骨的连续序列切片图，可直接用于医学三维重建或体绘制。(The upload of 256 CT images are of high quality DICOME form a continuous sequence of the human skull slice diagram can be directly used in medical 3D reconstruction or volume rendering.)

2009年CVPR最佳论文《Single image haze removal using dark channel prior》暗原色图像去雾的算法实现。与原文不同的是本程序没有完成最后matting细化效果的部分，但仍能够达到视觉上可以接受的去雾效果。计算机视觉课程作业。工程运行于VS2008环境，需要OpenCV支持。Debug目下exe文件可以直接双击运行查看结果。(CVPR 2009 Best Paper " Single image haze removal using dark channel prior" to the dark fog of the primary image algorithm. The difference is that with the original program did not complete the final matting refinement part，yet haze-removal result is visually acceptable. Visual course work. This project runs under VS2008 with OpenCV. Double click the exe file under Debug folder to check the final result.)

中值滤波：采用5*5窗口对噪声污染的图像进行去噪处理。(Median filter: 5* 5 window on the noise pollution to deal with the image de-noising.)

说明：  图像去模糊，各种传统滤波算法，逆滤波、维纳滤波、LR算法等等。。。针对图像运动模糊领域(Image to blur, a variety of traditional filtering algorithms, inverse filtering, Wiener filtering, LR algorithm and so on...Aimed at the field of image motion blur)

This is an implementation of a ACCV 2010 paper, Exploiting Self-Similarities for Single Frame Super-Resolution.

一种光学测试的算法，有助于全面分析激光大气传输特性及其对光电系统性能的影响，希望对大家有帮助哦(An optical testing algorithm, which helps to fully analyze the characteristics of laser propagation in the atmosphere and its impact on the performance of photovoltaic systems, we want to help oh)

读入人脸图像，根据图像的水平，垂直灰度积分情况，将人眼范围取出，背景可以较复杂。(Reading into the human face image, according to the image of horizontal, vertical gray points, which will remove the scope of the human eye, the background can be more complicated.)