Hypergraph-edge-detection

利用图像二值化方法对图像进行调幅加网，本程序实现了45度角度的调幅加网算法。(Use of the image binarization method of images in AM screening, the program achieved a 45 degrees angle of AM screening algorithm.)

差影法去背景---部分测试，感觉还行，与大家分享，呵呵差影法去背景(Poor background--- Shadow law to some of the test, I feel also visit to share with you, huh, huh difference method to the background shadow)

说明：  阈值分割。基于二维直方图及混沌粒子群的图像分割方法(Thresholding. Based on two-dimensional histogram and chaotic particle swarm methods for image segmentation)

自适应中值滤波器的代码，最大9窗口和3*3标准中值滤波窗口结果对比(The adaptive median filter code, up to nine 3* 3 window, and the result of comparison of the value of the standard filter window)

利用傅里叶变换方法自动处理正弦条纹图像，获得条纹图相位(Fourier transform method for automatic processing of sinusoidal fringe image obtained fringe pattern phase)

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)

一个非常简小灵便的DICOM文件阅读器,支持多种格式的文件，支持图片的大多数编辑功能。(A very simple and handy DICOM file reader supports multiple formats of files and most editing functions of pictures.)

基于svd的数字水印，信噪比比较高(Svd based digital watermarking, can also signal to noise ratio is relatively high)

基于fcm的图像分割方法，效果好，希望能给大家提供一些建议。(FCM-based image segmentation method, the effect of good, I hope everyone can offer some suggestions.)

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 )