搜索资源列表
variational_PDE_tools
- 变分偏微分方程图像处理工具包，包括计算曲率，方差，L1,L2范数等29个实用算法-variational PDE image processing tool kit, including the calculation of curvature, variance, L1, L2 norm, and other practical algorithms 29
Fast_Global_Minimization_Active_Contour
- Author: Xavier Bresson (％ Last version: Aug 3, 2008 ％ For more information: X. Bresson and T.F. Chan, \"Fast Minimization of the Vectorial Total Variation Norm and Applications to Color Image Processing\", CAM Report 07-25
minL1.rar
- 求解L-1范数最小,利用线性规划算法，实现压缩感知的功能,min L-1 norm
L1-Homotopy-ALM
- 基于稀疏表示的人脸识别，里面有9种求1范数的方法-Face recognition based on sparse representation, there are nine kinds of seeking a method of norm
l1_ls
- 基于最小二乘思想解决l1范最小问题，对于初学压缩感知的同学有一定的帮助 -L1 norm minimization problem based on least squares ideology, compressed sensing for the beginner students some help
Perona_Malik
- 图像的各向异性扩散，利用matlab实现Perona_Malik算法，梯度阈值K通过对图像求解2-范数的方法迭代获得-Anisotropic diffusion images, using matlab to achieve Perona_Malik algorithm, the gradient threshold images by solving the K 2- norm method will be obtained
Total_variation-regularized
- 总变分正则化超分辨率重建 包括两种范数形式的正则化-Total Variation Regularized super-resolution reconstruction, including two-norm in the form of regularization
RSC
- 强壮的人脸识别系统，发表于cvpr2011年，程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse linear combination of the trai
conjugategrads
- 图像重建常常被转化为解非线性无约束极值问题, 通过范数极小化推导出共扼梯度法的 一般算法。通过对模拟数据和实际工件断层扫描数据进行图像重建, 估计了算法的有效性, 结果表明, 与最速下降法相比, 此算法更适用于不完全投影数据的图像重建, 在保证重建图像拟合度的同时, 大大提高了重建速度。-Image reconstruction has often been transformed into solving nonlinear unconstrained extremum problem,
MPEG2-AVI
- The development is based on MSSG MPEG2Decode 1. GUI interface (gui.cpp) 2. VFAPI support (vfapi.c vfapidec.c) 3. AC3/MPA/LPCM demux (getbit.c) 4. Auto-split AVI output through RGB24/YUY2 (store.c) 5. YUY2 DirectDraw Overlay (store.c gu
digitalimageprocessing
- 数字图像处理附带的源码，风格较规范，可以当做数字图像处理入门、新手练习-Digital image processing incidental source, style than the norm, as a digital image processing can be started, new practice
l1magic
- This package contains code for solving seven optimization problems. -The main directory contains MATLAB m-files which contain simple examples for each of the recovery problems. They illustrate how the code should be used (it is fairly straightfor
edgeNorm
- 在图像边缘点上计算边缘法向量, Compute the norm vector at the boundary-compute the norm vector at the boundary
linfinity
- 用于空间点重构，图像单应估计，摄像机位置确定的基于无穷范数的代码-For space-point reconstruction, the image alone should be estimated, the camera position to determine the code based on the infinite norm
irntv
- TV正则化去卷积the Iteratively Reweighted Norm algorithm for solving the generalized TV functional, which includes the L2-TV and and L1-TV problems-An Iteratively Reweighted Norm Algorithm for Minimization of Total Variation Functionals
SolveOMP
- 匹配追踪算法求解1范数，有需要的可以下载使用-Matching pursuit algorithm for solving a norm, there is need to download
error2d
- Computes the FE error measured in the L2- and H1-norm for 2D problems. Especially useful for illustrating the error decay of piecewise linear finite elements in the common norms.
Counter
- KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors- KNN classifiers, training is training set, testing is test set,
SAR-SIMULATION
- 图像的品质评定是图像处理领域的一项重要课题, 难以对其给出客观的评价. 文中引进模糊数学中的三角 模算子与非模糊基数等概念, 定义了数字图像模糊度. 理论与实验表明: 该定义比模糊指数更符合人眼的视觉特性, 并可用于评价图像品质. 图像模糊度能够明显提高图像处理系统的效率.-Image quality evaluation is an important field of image processing tasks, it is difficult Duiqi give an obje
Matrix-Norm
- 本课件详细介绍了图像处理中的向量范数和矩阵范数的定义，并给出了相关应用。-The courseware details image processing vector norm and the matrix norm is defined, and gives related applications.