ycib5

采用K-SVD对图像进行去噪处理。可以对不同类型的图像进行去噪处理。(Image denoising using K-SVD)

非下采样轮廓波变换，NSCT变换，主要用于图像去噪(Non - down sampling contourlet transform and NSCT transform are mainly used for image denoising.)

说明：  利用c语言快速实现各类小波变换，案例丰富(Using C language to realize all kinds of wavelet transform quickly, with rich cases)

用于全息成像的算法，采用球面波照射物体，进行图像还原，代码可运行。(The algorithm for holographic imaging uses spherical wave to illuminate objects and restore images, so the code can run.)

主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)

用matlab实现的pca算法，用于将维，适用于各种试验，如人脸识别程序(Using matlab realize the PCA algorithm is used to dimension, applicable to a variety of tests, procedures such as face recognition)

DEM数据处理，有贴纹理及漫游程序，自己在其他网上下载的 希望对做三维的朋友有所帮助(DEM data processing, has the stick texture and roaming)

jquery ui div的拖拽 克隆功能(JQuery UI drag and drop clone)

图像噪点检测，去除难以区分的斑点噪声及平滑图像 双曲型差分(Image denoising and hyperbolic difference)

说明：  提取图像中的模式噪声，是先使用滤波器后再进行提取的(To extract the pattern noise in an image, a filter is used first and then the noise is extracted)