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盲信号分离的fastICA算法，读取具有混合干扰的4幅图像，处理后显示分离后图像(Blind Source Separation Algorithm fastICA, read with mixed disturbance of four images, processed images show that after the separation)

基于matlab的三维重建代码，提取两幅图片的匹配点(Based on three-dimensional reconstruction of the matlab code, extract the two images match point)

多层mie散射程序,可以模拟多层粒子的散射情况。(multi-layer mie scatter )

256色显示文件。在DOS环境下用256原色显示BMP格式的图片。(256-color display documents. In the DOS environment display with 256 color BMP format picture.)

实现EEMD算法的函数，如extrema.m，eemd.m等等(the functions actualize of EEMD algorithm,such as extrema.m,eemd.m)

说明：  采用自适应非局部降噪的算法对图像进行去噪处理，能够实现不同算法的降噪处理(Using adaptive non-local denoising algorithm to denoise image can achieve denoising processing of different algorithms.)

说明：  用canny做边缘检测的matlab源程序(do with canny Edge Detection Matlab source)

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.)

基于MATLAB语言模拟复眼成像，同时模拟不同的深度信息(Simulate compound eye imaging based on MATLAB language, and simulate different depth information.)

计算图像的均值和方差函数，matlab编写的，可以添加到自己的图像处理中(Calculated the mean and variance of the image function, matlab prepared, can be added to their own image processing)