i---retinex

运用基于密度的聚类算法实现了超像素的分割(The segmentation of super pixels is realized by using the clustering algorithm based on density)

根据图像色彩信息，寻找图像的质心，以便对目标的跟踪(The image color information, look for the image of the center of mass to the target track)

针对传统中值滤波算法的优缺点,提出了一种基于相似度函数的自适应加权中值滤波算法.(Abstract：According to excellence and shortcoming of conventional median filter algorithm，an algorithm called adaptive weighted median filter algorithm based on similarity function is proposed)

一种用于用于进行图像隐写分析的算法的源代码，主要是基于最低有效位检测这一方面研究的(Used for the image of a steganalysis algorithm source code, mainly detection based on the least significant bit of research in this)

计算两幅图像之间的交叉熵，自己编的比较简单和大家分享。(Calculate the cross-entropy between the two images, their own series is relatively simple and to share.)

非常经典的彩色转移算法的原文及源代码，是学习彩色转移必须看的。(The text of the classic color transfer algorithm and the source code, is the study of color transfer must see it. )

用matlab实现的霍夫曼编码的图像压缩，主要就是依据霍夫曼编码的原理实现的图形图像处理。(Using the Huffman code matlab realize the image compression, Huffman coding is mainly based on the principle realize graphics image processing.)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SP算法，对256*256的lena图处理，比较原图和SP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间(Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and SP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

说明：  在这个知识库中，图形信号处理的一些有趣的特性被表示出来。演示通过经典信号处理和图形信号处理对一维和二维欧几里得域信号应用低通滤波器，比较两种方法的结果。在此基础上，验证了图形信号处理的工作机制。此外，还描述了在非欧几里得域上滤波信号的示例。(In this repository, Some fascinating features of Graph Signal Processing were represented. Demos incudes applying a low-pass filter on both 1D and 2D euclidian domain signal by classical signal processing and also Graph signal processing to compare both results are the same. Within that way, we will validate the working mechanism of Graph Signal Processing. In addition to this, an example of filtering a signal on the non-euclidian domain was also represented.)

遥感数字图像处理基础 遥感数字图像处理基础(yao gan shu zi tu xiang chu li ji chu)