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C# 给图片添加水印 图片类型转换 例子

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)

光斑中心提取算法，在VS2010下，用opencv2.3.1编写的控制台程序，主要功能是利用hession矩阵和高斯滤波进行光斑中心点提取，里面附测试图片，提取精度为亚像素级别。(Spot center extraction algorithm, in VS2010, written by opencv2.3.1 console program, the main function is to use hession matrices and Gaussian filter for extracting the center spot, which is attached test images, the extraction accuracy of sub-pixel level.)

这是一个数字模糊处理的算法论文!很好很经典(Number obfuscation algorithms! Good classic)

关于图像分割中分水岭的一个代码，能够实现相应功能，拿出来与大家共享(Image segmentation in the watershed on a code, can achieve the corresponding functions, and show to share with you)

针对散焦模糊图像，用matlab实现了先基于倒谱相关性对PSF的参数估计，再用维纳滤波实现复原的算法。(Defocus blurred image using matlab first estimated based on the parameters of the cepstrum on PSF, and then the Wiener filter recovery algorithm.)

说明：  利用MATLAB的图像用户界面GUI设计一个简单的菜单式图像处理系统。通过该程序实现对图像的简单处理、变换和去噪等功能，满足课程设计的要求。(A simple menu image processing system is designed by using the image user interface GUI of MATLAB. Through this program, the functions of image processing, transformation and denoising are realized, which meet the requirements of curriculum design.)

利用已有真实场景色彩图片转换为灰度图像，实现SAR成像处理，(Use of existing real scene color images converted to grayscale images, the SAR imaging processing)

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.)

用于图像特征提取的基于gabor小波变换，进行各种特征提取(Gabor wavelet transform for image feature extraction for various feature extraction)