fdct_wrapping

在Contourlet变换的基础上发展而来的非下采样Contourlet变换，可以得到图像变换之后的平移不变性。(In Contourlet Transform evolved on the basis of non-sampling Contourlet transform, the image can be transformed after the translation invariance.)

光谱角(Spectral Angle)衡量像素间的相关性存在着差异，本程序用于计算光谱角，及光谱角匹配(Spectral Angle (Spectral Angle) to measure the correlation between pixels there are differences, the process used to calculate the spectral angle, and spectral angle matching)

这是我本科的毕业设计做的关于医学图像的基于形状的图像检索。预处理用小波去噪 ，特征选用不变矩。(This is my undergraduate graduation design done on the medical images based on the shape of the image retrieval. Pretreatment with wavelet denoising, feature selection invariant moment.)

Matlab在一个图形上添加多个colormap(Matlab adds multiple colormap on a graph)

目前最好的空域图像隐写算法，亲测已跑通！(the best Steganography)

一些常用的图像处理评价指标，处理后图像对比度，边缘剩余数，处理前后图像的相似性....(Some commonly used image processing evaluation, contrast, edges remaining number of similarities ....)

说明：  本程序功能为图像平滑的实现，平滑方法包括中值滤波、均值滤波和高斯滤波算法。可直接下载运行。(The program features for the realization of image smoothing。 The smoothing methods include median filtering, average filtering and Gaussian filtering algorithm. This program can be run directly after downloading.)

说明：  二维码识别，matlab代码，内附二维码，内有界面，选择输入，注意输入顺序！(Two dimensional code identification, matlab code, two-dimensional code inside, interface inside, select input, pay attention to the input sequence!)

程序是实现交通标志图像的分割GUI界面，采用分割的方法主要有Ostu，阈值迭代选择法及区域生长法。(Program is to achieve a traffic sign image segmentation GUI interface, the mainly segmentation methods are Ostu, iterative threshold selection method and region growing method.)

基于马尔科夫随机场的，例子学习超分辨率复原代码。(This is an implementation of the example-based super-resolution algorithm. Although the applications of MSFs have now extended beyond example-based super resolution and texture synthesis, it is still of great value to revisit this problem, especially to share the source code and examplar images with the research community. We hope that this software package can help to understand Markov random fields for low-level vision, and to create benchmark for super-resolution algorithms.)