CCD

RSIHE算法（Recursive sub-image histogram equalization）。基本原理是将图像分割为等面积的2^r部分，各部分分别进行直方图均衡。文件中包含RSIHE的matlab源代码，论文，以及输入图像(RSIHE algorithm (Recursive sub-image histogram equalization). The basic principle is to image segmentation is an area of ​ ​ 2 ^ r part, the various parts of histogram equalization. File contains RSIHE matlab source code, papers, as well as the input image)

同态滤波器 作用：消除不均匀照度的影响, 增强图象细节。(Filter function with the state: to eliminate the impact of uneven illumination, enhanced image detail.)

这个是用matlab编写的读取遥感图像envi的程序(This is prepared using matlab to read the procedures for remote sensing image envi)

本程序实现了两种误差扩散算法，分别用Sierra扩散滤波器和stenenson扩散滤波器，实现了比Floy_stein更好的误差扩散半色调效果。(This procedure implements two error diffusion algorithm, respectively Sierra diffusion filters and stenenson diffusion filter, to achieve better than Floy_stein error diffusion halftone effects.)

多类图像特征结合上下文信息进行目标识别（分类、分割）(Many types of image features combined with context information for target identification (classification, segmentation))

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ILRS算法，对256*256的lena图处理，比较原图和IRLS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 IRLS algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using IRLS algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

基于双目视觉的三维重建，包含了重建过程中的基本步骤。(Binocular vision-based three-dimensional reconstruction, including the reconstruction of the basic steps of the process.)

matlab中图像的循环读入程序，我做了图像imadd叠加操作，别的函数也可以类似的使用这种循环(matlab image read into the program cycle, I make an image overlay imadd operations, other functions can also be similar to the use of this Cycle)

遥感数字图像中影像镶嵌，enviIDL源码下载(Remote sensing digital image image mosaic, envi IDL source code download)

计算局部形状描述符梯度方向直方图（HOG），直接输入图像即可用。(Calculate the local shape descriptors gradient orientation histogram (HOG), the input image can be used directly.)