Octree

用小波域隐马尔科夫树模型进行图像降噪的matlab软件，rice大学编制(Software For Image Denoising Using Wavelet-Domain Hidden Markov Tree Models)

spiht 图形程序压缩代码 代码可用 请仔细研读 并适当修改为适合自己的 (SPIHT graphics program to compress code code available, please carefully read and amended as appropriate for their own)

压缩感知重构算法，正交匹配投影算法，一维信号重建(Compressed sensing reconstruction algorithm, orthogonal matching projection algorithm, one-dimensional signal reconstruction)

应用harris算子进行角点检测，然后利用相关性检测得到匹配焦点，然后进行图像的重采样，适于对于彩色图像的处理，对于灰度图像，只要将harris算子检测时的图像从彩色道灰度图像的语句去掉即可(Application of operator harris corner detection, and then make use of relevant test match to be the focus, and then carried out resampling images, suitable for color image processing, for gray-scale images, as long as the operator will harris Detect when the image from color Road gray-scale images can be removed from the statement)

手机壁纸截图小工具源码程序，结合易语言扩展界面支持库，应用易语言图像格式转换支持库，可以截取指定格式的图片，用于手机壁纸。(Phone wallpaper theme gadget source program, combined with easy language support library expansion interface , the application image format conversion easy language support library , can intercept a specified format pictures, wallpaper for mobile phones .)

数字图像处理图像复原算法源代码（维纳滤波，最小二乘方法，L-R算法）(Digital image processing, image restoration algorithm source code (Wiener filtering, least squares method, the LR algorithm))

数字图像处理matlab版源码1，adpmedian.m(Matlab source code version of Digital Image Processing 1, adpmedian.m)

使用Tensoflow实现图卷积神经网络模型(Use Tensoflow Implementation Figure convolution neural network model)

对Vladimir Kolmogorov，Yuri Boykov大牛的算法杰作——Graph Cut进行使用演示，代码力求精简，可供Graph Cut初学者参考学习。已通过VS2005编译。(Of Vladimir Kolmogorov, Yuri Boykov big cow masterpiece algorithm- Graph Cut for the use of demonstration, the code to be simple, for beginners Reference Graph Cut Study. VS2005 compiler has passed.)

这是冈萨雷斯版数字图像处理中的几个函数的实现，包括dftfilt, dftuv,hpfilter,imnoise2,improd,希望对你的学习有所帮助(This is the realization Gonzalez version Several digital image processing functions, including dftfilt, dftuv, hpfilter, imnoise2, improd, I hope to help you learn)