EASI

分层树分割算法的Matlab实现，除编码和解码外，还附有熵编码程序，供研究图像处理的朋友参考使用。(hierarchical tree segmentation algorithm Matlab, in addition to encoding and decoding, but also with entropy coding procedures, Image processing research for a friend use and reference.)

针对opencv的配制方法总结，适合初学者来配置开发环境(For the preparation of opencv summary, suitable for beginners to configure the development environment)

当前流行的机器学习算法之一：boosting的变体——Gentleboost(The current popular one of machine learning algorithms: boosting variants- Gentleboost)

基于HSV与小波包分析的遥感图像融合，首先多光谱图像转换到HSV空间，再与全息图像分别进行小波包分解，然后低频与高频各自采用不同的融合方法，最后得到融合图像。(image fusion)

简易二值化演示易语言源码，例程程序使用嵌套循环改变画板颜色演示了图像二值化的简单过程。(Simple binary demonstrate easy language source code , a routine procedure uses nested loop Sketchpad color change demonstrates the binary image of a simple process .)

图像格式转换例程源码，程序主要结合易语言图像格式转换支持库，可以将某些图象文件的格式转换到其它图象文件的格式(Image format conversion routines source, the program mainly with easy language support library image format conversion , you can convert some of the image file format to other image file format)

说明：  VC的一些工程案例，包括车牌识别，人脸识别，图像处理基本操作等(car license recognization system)

基于小波的视频图像压缩研究进展 基于小波的视频图像压缩研究进展(Wavelet-based video image compression research progress)

c++语言或MATLAB编程对256×256的灰度图像进行8×8DCT变换，对变换后的结果进行处理： 采用区域编码和阈值编码方法实现图像压缩，保留 50％ 的系数(区域编码保留前 50%个系数，阈值编码保留 50%的大系数）； 再反变换后，对比原始图像和处理后的图像。(C++ or MATLAB programming performs 8 * 8DCT transform on 256 * 256 grayscale images, processing the transformed results: The region coding and threshold coding are used to compress the image, and the coefficient of 50% is retained (the first 50% coefficients are reserved for the region code and the large coefficient of the threshold code is retained by 50%). After inverse transformation, the original image and the processed image are compared.)

基于深度学习的图像超分辨率算法。 参考论文 Learning a Deep Convolutional Network for Image Super-Resolution (ECCV 2014) (Super resolution based on deep learning Refer to Learning a Deep Convolutional Network for Image Super-Resolution (ECCV 2014))