MATLAB

说明：  多尺度加权的rentinex算法实现图像增强，里面用到了高斯滤波对图像进行滤波，可以去除大部分的噪声，平滑图像效果较突出，3个高斯尺度对图像做滤波后加权在一起得到多尺度信息的图像。(Multiscale weighted rentinex algorithm is used to enhance the image. Gauss filter is used to filter the image, which can remove most of the noise. The smoothing effect of the image is prominent. Three Gaussian scales are filtered and weighted together to get the multi-scale information of the image.)

vssamp算法，图像变步长自动匹配重构重构算法，基于samp算法，更快速有效的重构复杂图像(vssamp variable step size image reconstruction algorithm automatically matches reconstruction, samp algorithm based on more quickly and efficiently reconstruct complex images)

介绍近场声全息的参考资料，其中格林函数对全息效果的影响是比较好的参考，有助于对全息的理解(Introduction nah reference materials, which affect the Green' s function of holographic effect is relatively good reference, contribute to the understanding of holography)

考虑雨衰 阴影 和多径影响，可直接计算得到多重分形谱,非归零型差分相位调制信号建模与仿真分析 。( Consider shadow rain attenuation and multipath effects It can be directly calculated multi-fractal spectrum, NRZ type differential phase modulation signal modeling and simulation analysis.)

ostu与鱼群算法相结合，并且用matlab实现(ostu algorithm combined with the fish, and using matlab)

用matalab编译的，求取 车牌图像的方法，很实用下载后 导入目标图像即可(The compiler with matalab, and calculate the license plate image, the method of practical import target image after download )

光流分析程序 利用光流分析进行运动目标检测程序 (Optical flow analysis program using optical flow analysis of moving target detection procedures)

说明：  基于hessian矩阵的FrangiFilter，用于图像增强,常用于影像图像血管增强(FrangiFilter based on hessian matrix, which is used for image enhancement, is often used for image enhancement of blood vessels.)

改进的数学形态学小目标检测，用于红外图像中的点目标检测，比传统的Top-Hat变换检测精度高(Small target detection improved mathematical morphology for point target detection in infrared images, higher detection accuracy than traditional Top-Hat transform)

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