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
ROFL2denoisingmodel
- ROF-L2去噪模型，可以有效的去除加性噪声-ROF-L2 denoising model
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
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.
FEMGUI
- This program solves the equation on the interval (0,1) plus boundary conditions of Dirichlet or Neumann type with the finite elemnt method. Linear and quadratic finite elemnst are included. In the case were an exact solution is given the L2-Error,
l2lap
- 采用L2范数的超分辨率图像重建,和拉普拉斯结合用！-super resolution reconstruction algorithm
Sobel
- 本算法是在经典Sobel算子基础上,结合汽车本身的实际情况,增加了6个方向模板,同时利用基于L2 范数的各同性扩散去噪模型消除噪声,最终得出汽车轮廓图。仿真结果表明:该算法对汽车图像的噪声干扰 有较强的抑制能力,汽车轮廓提取定位更准,精度更高,图像更清晰。-This algorithm is the classical Sobel operator on the basis of the actual situation with the car itself, an increase
cpuinfo
- 这个函数读取各个比特的信息处理器和操作 系统，包括： *中央处理器的名字 *时钟速度 *处理器缓存的大小（二级） *号的物理处理器核心 *操作系统名称和版本 这是由程序/处理器（系统），sysctl（苹果）或命令行工具（窗口）。 需要在r2010a或以上。-This function reads various bits of information about the CPU and operating system, including: * CPU
L2
- 基于L2范数的多帧图像超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。-Based on the L2 norm of the multi-frame image super-resolution image reconstruction algorithm, on the basis of existing algorithms to improve computational accuracy and efficiency.
HEM
- 采用自适应混合误差模型的正则化超分辨率算法，正则项采用BTV，参考文献：AN ADAPTIVE L1-L2 HYBRID ERROR MODEL TO SUPER-RESOLUTION -AN ADAPTIVE L1-L2 HYBRID ERROR MODEL TO SR
blinddeconv
- 一个盲去模糊算法，速度很快！用到了l1/l2范数和对卷积核的l1范数，对噪声有抑制作用！-A blind go fuzzy algorithm, the sppeed is very fast! l1/l2 norm and l1 norm are used for compution, the noise was inhibited!
lixsanmatla3
- 提升技术现已成为采样控制系统分析和设计的主要工具.系统提升后成为一离散系统,其H∞范数与原采样系统的L2诱导范数是等价的,故称为H∞离散化.提升计算包括矩阵的指数和积分运算,一般是很复杂的.本文给出了利用MATLAB的提升算法,算法简单可靠 同时还给出了求取等价系统H∞范数γ值的二分法并配有算例.-Technological upgrading sampling control system has become a major tool for analysis and design. Upg
object-tracking-based-on-ML-and-L2
- 提出了一种基于ML和L2范数的视频目标跟踪算法。将压缩感知引入到目标跟踪领域，实现图像目标跟踪。-Presents a video object tracking algorithm based on ML and L2 norm. The compressed sensing is introduced into target tracking, image target tracking.
TVdenoising-
- 全变差图像去噪，用的分裂Bregman迭代算法，分别用到了L1,、L2、和Lp范数来做的，其中在L1模型中还用到了高斯赛德尔迭代和收缩算子，-Total variation image denoising, with split Bregman iterative algorithm, respectively, used in the L1,, L2, and Lp norm to do, which is also used in the L1 model iterations and hi
super-resolution-Regularization-
- 本程序包括了三个程序，L1范数正则化，L2范数正则化，Tikhonov正则化超分辨率重建。经反复测试，没有BUG。-The program includes three procedures, L1 norm regularization, L2 norm regularization, Tikhonov regularization super-resolution reconstruction. After repeated testing, no BUG.
demo_SGMKL
- 多核学习Sparse GMKL的代码，采用L1+L2范数约束，代码很详尽！-Multicore learning Sparse GMKL code, using L1+L2 norm constraint, the code is very detailed!
ROF
- 利用TV作为正则项，L2范数作为数据项去噪的变分模型的代码-TV exploit code variational denoising model
TV-L2-Inpainting
- 经典的ROF模型，可以用于图像去噪，图像分解；TV图像修复(The ROF model can be used for image denoising)
mad_iter
- I am using MODIS AOD (both L2 and 3km data) and in IDL I've been able to read the 5 minute data to daily (.dat) files, grid them (.grd) and create time series plots.
L2_picture
- 用matlab读取L2级的MODIS卫星数据并用m_map工具包画图(The L2 temperature data of MODIS are read by MATLAB and drawn with m_map toolbox. Hope this will help you.)