JPEG

有关图像处理中的图像校正，MATLAB，亲测可行(ImageRegistration matlab)

说明：  利用matlab实现不同曝光成度的图像融合，matlab实现HDR功能(Using matlab to realize image fusion with different exposure degrees, and using MATLAB to realize HDR function)

说明：  基于偏斜度的视频水印源程序, 一个高信息量的水印程序,对大信息量水印有很好的参考价值(Skewness-based video watermarking source, a high amount of information watermark procedures, the large amount of information watermark have a good reference value)

图像配准的源程序，matlab编写的，试试看(image registration source, prepared by the Matlab Try)

基于颜色特征向量的粒子滤波跟踪程序，修复了因粒子超过窗口范围出现ERROR的BUG，还包括了一些有助于粒子滤波学习的资料！！(color-based particle filter tracking, some bugs have been fixed, some information about PF Tracking is included too!!)

程序将界面与数据处理分开，界面采用MFC的对话框模板，对注册、训练、识别和主界面分别建立一个类，通过消息处理函数与用户进行交互，利用多线程来实时显示图像。 数据处理又分为了CFaceAlign（人脸检测+几何归一化）、CLightPrep（光照归一化）、CFaceFeature（Gabor特征提取）、CSubspace（计算Fisherface子空间）四个类，还有一个类 CFaceMngr 负责管理界面与数据之间的交流。这样的程序结构使对界面和算法彼此独立，互不影响。 每个类的具体方法请见相应头文件中的注释。(The program will interface with the data processing separate interface using MFC dialog template, registration, training, recognition and the main interface, respectively, to create a class that interacts with the user through a message handler, using multiple threads to display images in real time.   Data processing is divided into a CFaceAlign (Face Detection+ geometric normalization), CLightPrep (illumination normalization), CFaceFeature (Gabor feature extraction), CSubspace (computing Fisherface subspace) four categories, as well as a class is responsible for managing CFaceMngr interface and data exchange between. Such a program structure allows for interfaces and algorithms are independent of each other. Specific methods of each class, see the comments in the appropriate header files.)

中科院图像理解与计算机视觉课件6 值得参考一下 some topics on pattern recognition and computer vision(Chinese Academy of Sciences and Computer Vision Image Understanding Courseware 6 worth refer to some topics on pattern recognition and computer vision)

IDL程序，采用光谱融合法对遥感影像进行去云处理。(IDL procedures, the use of spectral fusion of remote sensing images to cloud processing.)

根据CVPR最佳论文实现的基于暗通道的图像去雾算法（含soft matting），以及算法改进：包括对色彩失真的改进以及一种达到soft matting效果的快速算法(According CVPR Best Paper realized based on dark channel images to fog algorithms (including soft matting), and algorithm improvements: Improvements include color distortion as well as a way to achieve fast algorithm for soft matting effect)

用SIFT结合光流场进行图像配准，得到不错的效果(The image registration is carried out with SIFT combined with optical flow field, and good results are obtained.)