用Efros和Freeman的纹理合成算法,利用误差最小的边界剪切法进行纹理图片的合成...

这是国际上首次采用GPU来实现立体视觉匹配的应用，此后GPU的应用才开始变的广泛起来，很值得从事GPU编程和开发者阅读，里面实现的很精简，读懂要花点功夫哦。-This is used for the first time the international community to achieve GPU matching stereo vision applications, since the application of GPU began to become widespread, and is worth engaging in GPU programming and developers to read and realize it

VC编写的基于PCA和LBP的人脸识别程序-VC prepared by the PCA and the LBP-based face recognition program

拉普拉斯锐化（边缘锐化）：对图像边缘进行拉普拉斯锐化-Laplacian sharpening (edge sharpening): Laplacian of the image edge sharpening

运用contourlet变换和小波变换对图像进行去噪处理,并将二者的去噪效果通过PSNR进行对比.文中包含去噪.m文件和求PSNR的.m文件.程序中注释详细,值得参考.通过测试的代码.-Use Contourlet transform and wavelet transform for image denoising treatment, and the denoising effect of the adoption of both PSNR comparison. Paper contains denoising. M documents and PSNR for the. M file. Program notes in detail, it is also useful. Through test code.

利用小波变换技术图像融合方法从模糊图像中恢复图像，并给出结果-Using Wavelet Transform Image Fusion technology of fuzzy images from the resumption of images, and gives results

（1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 -(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.

计算机图形学画四分之一个椭圆，若要画椭圆，只需加一个对称程序即可

学习opencv+directshow的文档-opencv+directshow

人民邮电出版社出版的vc++数字图像处理的的源代码，图像处理的基本方法差不多都有，可以收藏一下-Posts & Telecom Press published in vc++ digital image processing of the source code, image processing, almost all of the basic method, you can look at collection

采用拉普拉斯算子对灰度图像进行边缘监测功能的实现-Laplacian using gray-scale images on the edge of monitoring the achievement of