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
l1magic.tar
- l1-magic的matlab代码，l1-magic: Recovery of Sparse Signals via Convex Programming
l1magic-optimization 代码实现稀疏表示中的l1范式中的7个优化问题
- 代码实现稀疏表示中的l1范式中的7个优化问题。对大家实现稀疏表示算法有极大的参考价值-This package contains code for l1 magic solving seven optimization problems.
fast_sc.rar
- 稀疏编码的算法，运行请阅读readme文件，很简单,Sparse coding algorithmsrun matlab and execute: "demo_fast_sc(1)": epsilon-L1 sparsity penalty "demo_fast_sc(2)": L1 sparsity penalty
L1
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
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
Yall1
- 压缩感知恢复算法，解决l1最小化问题,能够得到线性非定常问题的最稀疏解-CS recovery algrithm
dal_ver1.01.tar
- 压缩感知中利用增广拉格朗日方程解最小稀疏正则化的恢复算法-DAL solves the dual problem of (1) via the augmented Lagrangian method (see Bertsekas 82). It uses the analytic expression (and its derivatives) of the following soft-thresholding operation， which can be computed for L1
l1tvsplitting
- 利用对偶分裂方法求解TV+L1的图像恢复问题-the dual-splitting approach for imamge restoration based on total variational.
YALL1-v1.3
- 求解L1范数最小化问题的凸优化工具包，共含有6个模型的求解方法-Solving the L1-norm minimization problem of convex optimization toolkit contains a total of six methods of solving the model
l1_ls
- 求解l1范式的值，用于压缩感知中的稀疏表示。进行分类-Solving the value of l1 paradigm for compressed sensing of sparse representation. Classification
Solvers
- 一范数问题的常见求解方法，广泛用于信号和图像处理当中。-some solvers fro l1-norm problem
tv-projection
- 总变分法（TV）的matlab源代码 l1-regularized least squares problems-Matlab source code for the total change score (TV) l1-regularized least squares problems
L1
- 基于L1范数的多帧图像超分辨率图像重建算法，在原有算法基础上改进，提高重建精度和效率。-Based on the L1 norm of the multi-frame image super-resolution image reconstruction algorithm, the improvement on the basis of the original algorithm to improve the reconstruction accuracy and efficiency.
l1-ls-A-Matlab-Solver
- 求解L1范数最优化的一个程序包，里面包括源码、说明文档及相应论文-l1 ls A Matlab Solver for Large-Scale ℓ 1-Regularized Least Squares Problems
L1-APG_release
- 最早将稀疏编码技术引入视频图像跟踪的L1跟踪器，2012年求解稀疏编码算法采用了新的计算方法。-The earliest will be sparse coding techniques L1 tracker, the introduction of the video image tracking the to solving sparse coding algorithm using a new calculation method in 2012.
Duality-Splitting-L1-TV
- 用对偶分裂算法处理乘性噪声如盐椒噪声（L1+TV），参数由电脑自动选取，matlab程序-A Duality-Based Splitting Method for L1-TV Image Restoration with Automatic Regularization Parameter Choice
L1 Total Variation
- 利用L1范数TV正则化对影像进行超分辨率重建(Super resolution reconstruction of images using L1 norm TV regularization)
l1magic-1.1
- 对l1最小化的处理，其中包括全面的l1范数的解得算法，运用tv全变分最小的解决方法，适合于单像素以及图像处理的研究者参考。(L1 minimization, including the full L1 norm solution algorithm, the use of TV total variation, the smallest solution, suitable for single pixel and image processing researchers reference.)