four-denosing-procedure

图像纹理特征提取matlab，计算图像的粗糙度、方向度等特征。(Image texture feature extraction matlab, calculated image roughness, and other characteristics of the direction of degrees.)

snake算法的c源代码,一般snake算法可以用于图像的边缘检测,是一种比较新的方法(snake algorithm c source code, the general snake algorithm can be used to image edge detection, is a relatively new approach)

基于压缩感知理论的超分辨率重建 实用程序包含论文中的试验(Super-resolution reconstruction based on compressive sensing theory The software reproduces the experiments published in the paper)

对故障信号进行去噪，自己调试的程序，带注释(The fault signal to denoise, debug their own procedures, with notes)

基于有限高斯混合模型的EM算法的源程序代码，里面有实验报告和运行结果。 (based on finite Gaussian mixture model of the EM algorithm source code, which has run reports and experimental results.)

说明：  利用小波进行边缘提取，比较各种小波核函数的能力，体会“数学显微镜”的妙用，例子：车牌定位。(using wavelet edge detection, comparison of different wavelet function of the nuclear capability and experience "math microscope," the magic examples : positioning plates.)

说明：  无下采样的contourlet变换阈值去噪； 无下采样的contourlet变换matlab7.0工具箱(No down-sampling of Contourlet Transform Thresholding Denoising without down-sampling the transform Contourlet matlab7.0 Toolbox)

说明：  SIFT用于图像全景拼接的源码，内附算法描述，很好用。(SIFT source code for image panorama stitching, containing algorithm descriptions, easy to use.)

用c++编写的三维图像变换的源代码，也是计算机图像学中经常要学习的一种变换。(Transform the source code written in c++ three-dimensional images, but also often have to learn a transformation in the computer iconography.)

一种使用牛顿迭代的超分辨算法，该算法以2的对数提高传统Landweber算法的运算速度，附带文章。(The problem of poor resolution of acquired image in the passive millimeter wave imaging stems mainly from antenna size limitations, thus necessitating efficient post-processing to achieve resolution improvements. A novel image super-resolution algorithm, Regularized-Newton-Residual (RNR) algorithm, is proposed for Passive Millimeter wave imaging (PMMW). First Newton inversion algorithm is introduced into the field of image restoration. The iterative scheme of Newton algorithm is deduced based on normal equation. Then, residual method is employed to achieve better performance and implement spectrum extrapolation. Experimental results demonstrate the algorithm is insensitive to noise distribution. Furthermore it has high super-resolution rate and fast convergence speed. )