IBP

说明：  小波变换是图像的多尺度、多分辨率分解，它可以聚焦到图像的任意细节，被称为数学上的显微镜。近年来，随着小波理论及其应用的发展，已将小波多分辨率分解用于像素级图像融合。把两个正交偏振的图片融合(Wavelet transform is the multi-scale and multi-resolution decomposition of an image. It can focus on any detail of the image and is called the mathematical microscope.In recent years, with the development of wavelet theory and its applications, wavelet multi-resolution decomposition has been applied to pixel-level image fusion)

非常全面介绍了阴影检测算法以及如何去除阴影的算法，基本涵盖了该领域的所有知识点。(Is a comprehensive introduction to the shadow detection algorithm and how to remove the shadow of the algorithm, covering all the knowledge in the field point.)

三维点云包围盒精简算法，内包含点云数据与处理结果，直观可用，效果良好。(Three dimensional point cloud bounding box reduction algorithm, which contains point cloud data and processing results, is intuitive and available, and the effect is good.)

两个图像质量评价函数，psnr峰值信噪比，正则均方误差nmse，能可用于去噪图像和压缩图像的质量评价，很有用啊。(Two image quality evaluation of the function. Including psnr PSNR, it is mean-square error nmse other. Images can be used for de-noising and compression of image quality evaluation.)

一个很有用的SAR图片，可用于SAR图像的目标识别(A very useful SAR image can be used for target recognition SAR image)

基于小波分析的BPSK的OFDM的分析，将对其的频谱进行分类及预测，(Based on the wavelet analysis of the analysis of BPSK OFDM, will the classification and prediction of the spectrum。 )

(l)小波分析理论在变形监测数据处理研究中的理论意义和实用价值 (2)小波阂值去噪和多分辨分析在变形监测信号分析中的应用 (3)在算法和图像处理方面的优越性 ((L) wavelet analysis theory in the study of deformation monitoring data processing theoretical significance and practical value (2) wavelet thresholding denoising and multi-resolution analysis in deformation monitoring signal analysis application (3) in the algorithm and image processing superiority )

说明：  Calculate the Laplacian of an image, can be accelerated by the GPU.

DPCM 图像的线性预测编码 有完整的运行界面使用简单(DPCM image of linear predictive coding to run a complete easy to use interface)

SIFT匹配算法，能够提取出具有尺度不变性的特征点，且能够对两幅图像进行鲁棒的匹配。(SIFT matching algorithm, able to extract with the scale invariance of the feature points, and the two images to be able to match robust.)