利用快速傅立叶算法，实现快速离散余弦变换及其逆变换

区域生长: 标注详细,参数可在程序中调整-Regional Growth: tagging detailed parameters can be adjusted in the procedure

JPEG2000的c语言实现，效率不如kakadu但是容易理解。-JPEG2000 c language, but the efficiency is better kakadu easy to understand.

JPEG2000标准的实现软件Kakadu的近期版本5.2.5的可执行程序，支持多核解码编码，cpu的性能可以得到充分发挥，是JPEG2000软件中已知性能最高的-JPEG2000 standard software Kakadu recent version 5.2.5 of the executable program to support multi-core codec encoding, cpu

robustly fits a fundamental matrix to a set of putatively matched image points.-robustly fits a fundamental matrix to a set of putatively matched image points.

运动模糊图像恢复算法的研究与实现,希望对大家有帮助-Motion-blurred image restoration algorithm for Research and Implementation, and they hope to help everyone

基于小波变换的图像融合，已形成界面。可通过界面进行相关图像处理操作。-Based on wavelet transform image fusion, has become the interface. Interface can be related to image processing operations.

对二维bmp图像做拉普拉斯边缘提取，具有较好的效果-pair of two-dimensional images do bmp Laplace edge extraction, with good results

稿件名称：Visual C++中双缓存滚动视图类开发及使用 稿件作者：钱昌松 刘志刚 程序名称：CachedScrollView 运行环境： 注意事项：-Manuscript name: Visual C++ In the double-buffering scroll view class development and the use of manuscripts Authors: Qian Chang-Song Liu Zhigang Name: CachedScrollView operating environment: Note:

hough变换检测直线中的峰值检测，只有检测出峰值，才能找出直线-hough transform detection of the peak detector in a straight line, only to detect the peak in order to find a straight line

Tracking a moving object through several frames, provided changes from frame to frame are on the order of +-(10 + "X Range") pixels in the X direction and +-(10 + "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.-Tracking a moving object through several frames, provided changes from frame to frame are on the order of+-(10+ "X Range") pixels in the X direction and+-(10+ "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.