Digital-Image-Processing

在matlab开发环境中，使用模糊C均值聚类的方法对数据进行聚类(In the Matlab development environment, the use of fuzzy C-means clustering methods for data clustering)

说明：  用matlab 实现的图像滤波，，，，，，，，，，(Image filtering realized by MATLAB,,,,,,,,,,)

说明：  此代码可以进行指纹识别，包括预处理，特征提取，(This code can be used for fingerprint identification, including preprocessing, feature extraction,)

说明：  何凯明的暗通道去雾算法，Python版本代码(image defogging based on dark channel)

机载SAR的动目标成像算法，动目标RD算法(Airborne SAR Imaging of Moving Target, Moving Target RD algorithm)

基于颜色衰减先验模型的单幅图像快速去雾算法。(A Fast Single Image Haze Removal Algorithm using Color Attenuation Prior)

基于麦克风阵列的高信噪比定向采音系统_何强(Based on high SNR directional microphone arrays adopt sound system _ He Qiang)

基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。(In this paper, we propose a novel method for solv- ing single-image super-resolution problems. Given a low-resolution image as input, we recover its high- resolution counterpart using a set of training exam- ples. While this formulation resembles other learning- based methods for super-resolution, our method has been inspired by recent manifold learning methods, par- ticularly locally linear embedding (LLE). Speci?cally, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector correspond- ing to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness con- straints between patches in the target high-resolution image through overlapping. Experiments show that our method is very ?exible )

在visual c++中用分形完成的julia集,是分形的具体应用,对学分形的朋友应该有帮助(In the visual c++ Used to complete the julia fractal set, is the concrete application of the fractal, Friend of the credits should be shaped to help)

说明：  在静止背景下使用背景差分法和帧间差分法进行移动目标的检测(Moving target detection using background subtraction and inter-frame subtraction in static background)