Match-Template

冈萨雷斯数字图像处理第二版中的tofloat函数，原书配带的函数式p文件，此处已经转为M文件。(Gonzalez Digital Image Processing Second Edition tofloat function, a function of the original book equipped with p-type documents, here has been converted to M-file.)

VisualC++数字图像处理技术详解第2版光盘-第七章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter VII)

一份关于用正则化去除图像模糊的资料，内含代码以及说明，并附上了仿真结果图(A report on the Regularization blur removal image data containing codes and descriptions, along with the simulation results of FIG.)

各类图形处理算法代码，齐全的图形处理算法，可以直接运行。去噪，识别，检测，拼接等(Complete graphics processing algorithm, you can run directly. Denoising, identification, detection, stitching and so on)

说明：  polsarpro官方学习教程，系统的说明了polsarpro软件的操作使用，可进行树高反演，地物分类，已经森林模拟数据生成(polsarpro tutorial note)

在人脸数据库中应用PCA，以及重建误差分析(Applying PCA in human face dataset and doing analysis on reconstruction differences )

Transferring color to greyscale images的原文及源代码，包括详细的测试图像以及相应的论文及源代码，是学习图像色采转移必看的经典内容。(Transferring color to greyscale images of the original text and source code, including detailed test image and the corresponding papers and source code is studying the image to see the classic color adopted transfer content.)

基于HSV与小波包分析的遥感图像融合，首先多光谱图像转换到HSV空间，再与全息图像分别进行小波包分解，然后低频与高频各自采用不同的融合方法，最后得到融合图像。(image fusion)

说明：  傅里叶谱与频域低通滤波 (a)从图书网站下载图4.41(a)并计算其(居中)傅里叶谱。(b)显示频谱。(c)在等式(4.8-7)中实现高斯低通滤波器。您必须能够指定结果2D函数的大小，M x N。此外，您必须能够指定高斯函数的中心位置。(d)从图书网站下载图4.41(a)，并对其进行低通滤波，以复制图4.48中的结果。(Fourier Spectrum and Lowpass Filtering in Frequency Domain (a) Download Fig. 4.41(a) from the book web site and compute its (centered) Fourier spectrum. (b) Display the spectrum. (c) Implement the Gaussian lowpass filter in Eq. (4.8-7). You must be able to specify the size, M x N, of the resulting 2D function. In addition, you must be able to specify the location of the center of the Gaussian function. (d) Download Fig. 4.41(a) from the book web site and lowpass filter it to duplicate the results in Fig. 4.48.)

图像处理的小波变换领域得到了快速发展与应用，本文分析在遥感图像增强中的应用及MATLAB实现(Imagery processing s wavelet transformation domain obtained the fast development and the application, this article analyzes in the remote sensing image intensification the application and MATLAB realizes )