suif1.info-3.tar

比较好的东西，留着待用，可用于水质检测的测量参考~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~(Good stuff, keep aside ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~)

很好的APEX盲恢复程序，用于图像去模糊处理，适用于常见模糊，如高斯模糊、柯西模糊、大气湍流等(Very good APEX blind recovery procedures, used in image to fuzzy processing, apply to common fuzzy, such as a gaussian blur, cauchy fuzzy, atmospheric turbulence, etc )

本文介绍了一种测量大气能见度的方法，双亮度差法，代码中给出了详细的注释，并且包括OSTU方法等等(In this paper, a measuring method of atmospheric visibility double brightness difference method, the code is given detailed annotations, and including the OSTU method and so on)

说明：  基于块分割的图像拼接，将图像按块拼接，缺点是速度很慢，算法有待改善(Block-based segmentation of the image mosaic, mosaic images by block, the disadvantage is very slow, the algorithm needs to be improved)

说明：  该文件主要用于减少相干斑噪声，包含各种常见的滤波器如Lee滤波器，Frost滤波器等(This file is mainly used to reduce speckle noise, including a variety of common filters, such as Lee filter, frost filter and so on)

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)

基于滤波和BEMD的红外小目标检测算法，检测效果好。(BEMD algorithm is able to estimate the background effectively and get the target image by removing the background from the original image and segmenting the Intrinsic Mode Functions making use of the local inverse entropy.)

该代码用于实现视觉目标跟踪研究中的协方差跟踪，能够把多种时空特征融合于统一的模型中，在实现视觉目标跟踪时具有较好的鲁棒性，而且其维数等于使用特征的数量，与各个特征的维数无关，因此，其计算复杂度较小，实时性较好。(This code is used to realize covariance tracking in the research field of visual object tracking of computer vision. It enables fusion of various spatial-temporal features into an unified object feature model, hence robust to noise. In addition, its dimension is equal to the number of the features used and independent of the dimensions of the features used. Therefore, it satisfies the requirement of real-time application due to its low computation cost.)

用于图像去噪处理Tikhonov模型，仅供用于学习参考(Tikhonov model for image denoising)

acm基础 数论 知识必备！很重要的基本功！ 有助于菜鸟入门！()