denoise3

说明：  随机抽样一致算法RANSAC，在图像配准中可以用于去除不精确的匹配点。(Random sample consensus algorithm RANSAC, in the image registration can be used to remove inaccurate matching point.)

说明：  可以进行点云数据精简，适合用matlab处理(Point cloud data reduction)

实现图像小波分解，可以自行指定分解级数，采用daubenchies小波(Achieve the wavelet decomposition, you can specify the decomposition of their own series, using wavelet daubenchies)

图像分解，基于能量泛函的，将图像分解成结构和纹理(Image decomposition, based on energy functional, there will be broken down into the structure and texture image)

说明：  用matlab实现的LSB的信息隐藏，有实验用的的图，可以完美运行(The information hiding of LSB realized by MATLAB, with experimental graph, can run perfectly)

实现中值滤波的源程序 参数Hori是一个布尔变量，若为真，做水平中值滤波，否则，做竖直中值滤波。(achieve Median filtering of the source parameters Hori is a Boolean variable, if true, so the level of median filtering, otherwise, do vertical median filtering.)

Space structure with static analysis % elastic beam element space structure with static analysis, elastic beam element

影像内定向程序编写，便于实习航摄影像的内定向(Orientation within the image programming, easy to practice within the aviation photography as directed)

一种基于Arnold变换的图像加密技术，并且用Matlab的GUI界面设计一个用Arnold算法进行图像加密的程序。该程序实现了Arnold图像加密算法的加、解密功能，以及一些基本的图像处理功能。(A kind of image encryption technology based on Arnold transform, and use Matlab GUI interface to design a Arnold encryption algorithm. This program implements the encryption and decryption function of Arnold image encryption algorithm and some basic image processing functions.)

本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得 % 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分 % 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子 % 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高 % 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input. % to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT. The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT % brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT) % frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.)