Subpixel-level-corner-

说明：  图像质量评价算法 GSM（基于梯度相似性的指标）的matlab程序(GSM (Gradient Similarity based Metric))

将压缩感知应用到图像分类方面，有详细的源码，下载就能运行(failed to translate)

说明：  NISwGSP stitching . 新一代的图像拼接(image stitching new. more powerful than apap)

说明：  光流场经典算法-LK算法，通过两幅图像计算光流场。(Lucas – Kanade Motion Estimation using Pyramids)

说明：  信息隐藏里LSB隐写方案的RS分析方法，附有详细注解。(Information hiding in LSB Steganography Scheme RS analysis, with detailed notes.)

2维相控阵方向图，用的是fft算法，验证正确为。(wo-dimensional phased-array pattern, using the fft algorithm, the right to verify.)

这是一个matlab的代码。利用自带函数，代码实现了医学图像的配准(This is a matlab source. Code implements images registration)

首先将RGB转换到HSV，再根据阈值进行HSV图像的分割(First convert RGB to HSV, then HSV image segmentation based on threshold)

FDK的C++代码,对于图像重建的人来说有用的哦(FDK s C++ code for image reconstruction for people who useful )

说明：  图像增强的目标是改进图片的质量，例如增加对比度，去掉模糊和噪声，修正几何畸变等；图像复原是在假定已知模糊或噪声的模型时，试图估计原图像的一种技术。 图像增强按所用方法可分成频率域法和空间域法。前者把图像看成一种二维信号，对其进行基于二维傅里叶变换的信号增强。采用低通滤波（即只让低频信号通过）法，可去掉图中的噪声；采用高通滤波法，则可增强边缘等高频信号，使模糊的图片变得清晰。具有代表性的空间域算法有局部求平均值法和中值滤波（取局部邻域中的中间像素值）法等，它们可用于去除或减弱噪声。 (A sharp and clear image is not directly produced from the optics, however, digital signal processing applied to the sampled image produces a sharp and clear final image that is also insensitive to misfocus related aberrations. This paper gives an overview of Wavefront Coding and example images related to the two applications of machine vision/label reading and biometric imaging. Design techniques of Wavefront Coding are unique from that of traditional imaging system design since both the optics and digital processing characteristics of the system are jointly optimized for optimum system performance.)