C加噪算法，包括高斯加噪算法，脉冲加噪算法，主要用于降噪算法评估...

首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！-First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!

边缘检测源代码，适用于图像处理初学者，以及，VC++ 初学者 -Edge detection source code, applied to image processing for beginners, as well as, VC++ Beginners

用VC实现将图片处理转存为C、H或TXT等文本文件，数据格式按液晶模块LCD12864显示要求，可方便单片机实现将图片显示到128X64液晶模块上。-VC realize with a picture to keep for treatment C, H or TXT text files, etc., data format displayed by the LCD module LCD12864 requirements, can be easily single-chip microcomputer to realize the picture shows 128X64 LCD module.

这是用flash做的一个potoshop的软件使用的概述，没有具体的应用，但是是一些使用前应该了解的基础知识。-It is used flash to do a potoshop an overview of the software, there is no specific application, but prior to use should be aware of some basic knowledge.

基于多尺度双变量多项式曲面拟合方程的图像表面分割算法的C++源码实现-Based on multi-scale surface fitting bivariate polynomial equation image segmentation algorithm based on the surface of the C++ Source realize

curvelet变换贝叶斯估计方法，用于估计含噪声图像的噪声参数。再对图像进行去噪处理-curvelet transform Bayesian estimation methods used to estimate the image noise with noise parameters. Re-image de-noising processing

vc++调用matlab函数混合编程实现二值图像的区域标记。-vc++ call matlab function Matlab binary image of the regional markers.

图像处理计算中用到的矩阵计算函数,主要是一些常用的函数-image processing used in the calculation of matrix calculation function is mainly a function of some commonly used

用块匹配法进行运动估计的matlab实现方法，返回运动矩阵-block matching method used for motion estimation method of Matlab, the return movement Matrix

又一种快速DCT变换，大家看看，也可以！-also a fast DCT, you see, can be!