picture3

方便实现图像的 处理，功能强大的算法文件，可以较好的实现图像的处理(Facilitate the realization of image processing, powerful algorithm files, you can better realize the image processing)

这个是图像处理中的hough变换的C++源代码，工需要的同学参考学习。(This is the image processing hough transform C++ source code, engineering students need to learn.)

一种基于non-sample的纹理合成demo，程序性能还有待优化，效果还不错.(texture synthesis demo.)

blkproc.m,DCHuffmanEncoding.m,ACHuffmanEncoding.m,zigzag.m,PSNR.m, 对灰度图像进行DCT变换,量化,ZigZag扫描,Huffman编解码,反量化,反DCT变换而重建图像。 其中，blkproc.m为分块DCT变换函数； DCHuffmanEncoding.m，ACHuffmanEncoding.m分别为DC和AC变换系数的Huffman码表函数； zigzag.m为ZigZag扫描函数；PSNR.m为求图像峰值信噪比函数。 Copyright 2008 Reserved @ Wang Chengyou @ Tianjin University, P.R.China. (This function tests the DCTJPEG codec)

dib图像的读取，显示以及存储，能够运行(dib image read, display, and storage, and be able to run)

对于vc++中经典的画线画图示例程序.对于类的控制和画线算法的实现.代码简洁明了(For vc++ in a classic example of procedures for drawing a line drawing. The type of control and painting line algorithm. Concise code)

图像变形处理程序，VC2013+opencv实现，利用三种差之方法扭曲变形( Image deformation processing program, VC2013+ opencv realized the difference between using three methods distorted)

傅里叶变换：采用VC++编写，实现二维图像的傅里叶变换(Fourier Transform: The VC++ prepared to achieve the two-dimensional Fourier transform of the image)

jpeg无失真压缩源代码(jpeg lossless compression source code)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )