color-image-into-color1-s2

图像融合，加权平均值，PCA方法，拉普拉斯方法，源程序(Image fusion, weighted average, PCA method, Laplace method, source)

基于偏微分方程的遥感图像处理方法 利用测试图像对算法进行仿真验证，并与其它图像去噪算法进行去噪效果比较，通过数值对降噪效果进行评估，得出该方法不仅能够去除噪声而且能够很好的保护图像的边缘等细节信息，弥补了高阶非线性扩散去噪方法导致边界模糊的缺陷，提高了遥感图像的质量，改善了视觉效果(Simulation algorithm of remote sensing image processing methods based on partial differential equations using the test image denoising results compare with other image denoising algorithm to assess the value of the noise reduction effect, draw the method can not only remove the noise but well protected image edge details, to make up for the higher order nonlinear diffusion denoising method lead to fuzzy boundaries defects and improve the quality of remote sensing images and improve the visual effects)

这本书提供了充分的代表性逆合成孔径雷达（ISAR）成像，这是一种流行和重要的雷达信号处理工具。本书涵盖了所有可能的ISAR成像方面。这本书提供了一个介绍了专家组的逆问题和合成孔径雷达（SAR）提出的问题之前，信号处理技术和雷达基本相当。如高分辨率SAR的重要概念，脉冲压缩和图像形成连同相关的MATLAB代码。 ISAR成像的基本原理后，这本书提供了相关的MATLAB函数和代码成像ISAR成像的详细程序。 ISAR成像，多个成像技巧和微调，如零填充和窗口程序，以提高图像的质量也被提出。最后，逆合成孔径雷达图像中的各种实际应用，如成像天线平台散射的，是在单独的一章。所有这些算法，MATLAB代码和数字都包括在内。最后一章考虑了在ISAR成像的先进理念和发展趋势。(This book provides a full representation of Inverse Synthetic Aperture Radar (ISAR) imagery, which is a popular and important radar signal processing tool. The book covers all possible aspects of ISAR imaging. The book offers a fair amount of signal processing techniques and radar basics before introducing the inverse problem of ISAR and the forward problem of Synthetic Aperture Radar (SAR). Important concepts of SAR such as resolution, pulse compression and image formation are given together with associated MATLAB codes. After providing the fundamentals for ISAR imaging, the book gives the detailed imaging procedures for ISAR imaging with associated MATLAB functions and codes. To enhance the image quality in ISAR imaging, several imaging tricks and fine-tuning procedures such as zero-padding and windowing are also presented. Finally, various real applications of ISAR imagery, like imaging the antenna-platform scattering, are given in a separate chapter. For all these algorithms, MATLA)

说明：  这是一个利用python里微信机器人，然后获取微信好友的照片，然后利用图像处理，把照片合成在一张照片里。(This is a use of the python Weixin robot, and then get the pictures of Weixin friends, and then use image processing to synthesize the pictures in a picture.)

说明：  利用小波进行边缘提取，比较各种小波核函数的能力，体会“数学显微镜”的妙用，例子：车牌定位。(using wavelet edge detection, comparison of different wavelet function of the nuclear capability and experience "math microscope," the magic examples : positioning plates.)

说明：  一维信号的小波分解，然后进行保留模极大系数重构，图像小波去噪(Wavelet decomposition)

一个很强大的图形计算处理软件，包括图像聚类，矩阵计算等(Scotch is a software package for graph and mesh/hypergraph partitioning, graph clustering, and sparse matrix ordering )

给定原图像和降噪或者加了噪声之后的图像，计算峰值信噪比PSNR(calculate PSNR)

扩展卡尔曼滤波的基础代码，有详细的注释，结合卡尔曼滤波的基本原理，就能很好的理解卡尔曼滤波过程了。(Extended Kalman filter based code , there are detailed notes , combined with the basic principles of Kalman filtering , we can well understand the process of Kalman filtering )

实现常用的IHS,PCA 加权三种图像融合算法(To achieve common IHS, PCA three-weighted image fusion algorithm)