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
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
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
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
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!
SSC_1.0
- 一种用于稀疏表示求解L1范数的算法，用L1范数近似L0范数获得了更好的效果。-A method for sparse representation algorithm for solving the L1-norm
l1benchmark
- l1benchmark程序用于解决L1范数优化问题-this l1benchmark codes is design to solve L1 constrain problem
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
l1_ls_matlab
- 稀疏表达中最小化l1范数问题的求解过程，matlab编写-Sparse expression l1 minimization process of solving the problem of norm, matlab write
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!
matlab_cvx
- 用于L1范数凸优化的一款matlab工具包，对压缩感知学者有一定帮助。-L1 norm for a convex optimization matlab toolkit, compression perception scholars have some help.
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.)