OpticalFlow

视频水印matlab源码，此为第四个压缩包，在水印领域的爱好者可以下载作为参考(Video Watermarking Matlab source, which is the fourth-compressed, Watermark in the field of lovers can download as a reference)

(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 )

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.)

最小二乘图像影像匹配方法，一个很详细的源码例程，有过程有结果，希望对初学者有帮助。高斯解方程，以及最小二乘匹配，里面都很详细。(Squares image image matching method, a very detailed source code routines, the outcome of the process, I hope to help beginners. Gaussian solution of equations, and least squares matching, which is very detailed.)

分子图像处理的软件，但没有数据库，具体操作看操作说明(Molecular image processing software, but there is no database, see the specific operation instructions)

说明：  这是国外某人写的开放gentel boost的源码，可用于基本的物体检测(This is a foreign person to write gentel boost open source code can be used to detect the basic objects)

本实验要求编写一个计算压缩-解压缩图像的均方根误差、均方信噪比的程序。该程序是一个通用程序。编写程序产生图示的结果。使用上面的保真度准则程序计算可视信息的损失特性。(Prepared in this experiment, a calculation of compression- decompression of the root-mean-square error of image, mean square signal to noise ratio of the procedure. The procedure is a common procedure. Picture shows the preparation of the results of procedures. The use of the above criteria for the fidelity of calculated loss characteristics of visual information.)

显示不同类型的色表，并查找相应区域或位置的值。 基于idl编程 (Show the different types of color tables, and find the corresponding value of the region or location. Idl-based programming)

Images of diffraction

读取gpr数据，并且对数据进行成像，没有进行任何数据处理(Read the GPR data and image the data without any data processing)