SIFT

一些matla实现的图像处理算法，有emd,和BEMD分解的程序，及图像去噪等算法。(Some matla realize image processing algorithm, emd, and BEMD decomposition process, and image denoising algorithm.)

Lee的经典的多分辨率B样条拟合方法（multi-level B-spline fitting）的VC源代码。广泛应用于图形图像处理，CAD等领域。(Lee s classic multi-resolution B-spline fitting method (multi-level B-spline fitting) of the VC source code. Widely used in graphic image processing, CAD and other fields.)

说明：  在 matlab中实现一种局部阈值化图像的算法(In matlab to achieve a local thresholding algorithm for image)

说明：  本程序基于MFC，VS2010编写，是一款可以打开任意视频格式的播放器，具有打开视频（任意格式，avi，mp4, rmvb,asf,avi,mpeg等）， 具有快进，快退，暂停，播放，上一帧，下一帧，截图，拍照，快速播放慢速播放功能，同时提供图像处理功能（视频图像增强，视频图像去雾，海上目标检测功能）。(This program is based on MFC, VS2010. It is a player that can open any video format. It has open video (arbitrary format, avi, mp4, rmvb, asf, avi, mpeg, etc.). It has the functions of fast forward, fast backward, pause, playback, last frame, next frame, screenshot, photograph, fast playback and slow playback. It also provides image processing functions (video image enhancement, video image defogging, sea target detection).)

关于干涉合成孔径雷达（INSAR）的图像处理程序~(Interferometric synthetic aperture radar (INSAR) image processing program ~)

说明：  该代码是图像处理中块匹配的全搜索算法，是用来估计和计算运动矢量的。(The image processing code is the full search block matching algorithm is used to estimate and calculate the motion vector.)

一个简单的虚线类，绘制各种虚线的C++类库，请看效果截图，可绘制出各种彩色的虚线效果。画横向或竖向虚线，以及对角线的虚线框效果，都是可以的，带有一个演示程序。(A simple dashed class, draw various dashed C++ library, see the effects shots, you can draw a variety of color dotted effect. Draw horizontal or vertical dashed line, as well as the effect of diagonal dashed box, are possible with a demo program.)

去除图像中的噪点，恢复原始图像的清晰程度。主要用于书页扫描(Removal of Facial Image and restore the original image clarity. Mainly used for scanning pages)

gmmreg图像配准算法源程序，里面用到了TPS算法，并附有例子。(gmmreg image registration algorithm source code and two demos, which used the TPS algorithm.)

利用剪切波变换的方向性和多尺度特性，在剪切波变换域中进行阈值降噪处理(Using the directional and multi-scale characteristics of shearlet, the threshold denoising is performed well in the shearlet transform domain)