GS

Matlab程序，利用curvelet变换和高斯逆滤波进行图像去雾，含效果图(Matlab program, using curvelet transform and inverse Gaussian image filtering to fog, with the effect of map)

自己用matlab语言编写的基于双线性插值的图像旋转程序(I have written based on the bilinear interpolation of the image rotation process)

use Codeblocks MinGW in openCV

基于双边滤波的retinex图像增强算法(Retinex Algorithm for Image Enhancement Based on Bilateral Filtering)

图像算法开放库，对图像处理的，希望对学习者有所帮助！(Image algorithm open library of image processing, and they hope to help learners!)

说明：  图像检索的的基于语义的图像检索 纹理图像检索 图像的特征提取方法(Image Retrieval of semantic-based image retrieval image retrieval image texture feature extraction methods)

matlab处理火焰视频，基于火焰亮度阈值，计算火焰高度宽度和间歇性。(Matlab processes the flame video and calculates the flame width and intermittency based on the flame brightness threshold.)

说明：  LMMSE图像超分辨率重建，基于先验知识的图像超分辨率重建(LMMSE image super-resolution reconstruction, image super-resolution reconstruction based on prior knowledge)

说明：  本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像灰度化、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)

Criminisi方法修复灰度图像（单通道）图像(Criminisi algorithm for gray image or single channel image )