搜索资源列表
demo_sparse_tv
- 基于全变分空间正则化的稀疏超普解混算法的MATLAB程序-Matlab programs for “Total variation spatial regularization for sparse hyperspectral unmixing”
GISA
- 一种求解lp范数正则化约束的稀疏表示方法-Sparse representation method for solving LP norm regularization constraint
TVD_nonconvex_software_2014
- 凸一维总变差去噪与非凸正则化，内有文献参考。值得学习-One-dimensional convex total variation denoising non-convex regularization, the literature reference. Worth learning
mrics
- 代码的mrics。M’是从他们的傅立叶系数的一个子集，使用总变分正则化图像重建的分裂Bregman方法的实现。使用代码指令可以在文件“mrics顶在评论中发现。”。一个演示脚本也包括在内，显示正确的使用方法。-The code ‘mrics.m’ is an implementation of the Split Bregman method for reconstructing images a subset of their Fourier coefficients using total
optimization
- 图像分割matlab 代码，不使用传统的tv 正则项，而是提出了一种新的正则化方法，可以运行-image segmentation with new regularization term
E6332
- 基于总变分（TV）的正则化多帧图像超分辨复原-Based on the total variation (TV) regularization multi-frame super-resolution image restoration
regularized-optical-flow-algorithm
- 正则化光流法的应用程序，用于图像处理，提取图像信号，并与傅里叶变换做对照-Regularization optical flow method application for image processing, to extract an image signal, and the Fourier transform as control
guize
- 这是规则化滤波复原的matlab代码，需要的可以作为参考-This is the matlab code regularization filter recovery, need can be used as a reference
TI_DTV_code
- 基于分组规则化的超分辨率实现代码，原文发表于2013 年较新-super-resolution implementation code based on regularization, originally paper published in 2013 newer
AOS-method
- 正则化P-M模型的半隐式求解格式，加性分裂算子（AOS）方法-Regularization P- semi implicit solving format of M model, additive division operator (AOS) method
MFTV
- 图像超分辨率程序，基于稀疏表示和正则化方法，程序带有注释，提供相关论文. 可以直接运行. -Matlab code about super-resolution, based on sparse representation and regularization. The codes include annotation. Related paper also provided
Untitled2
- 利用matlab里hough等做出影像转正，侦测出图片直线部分并合并计算做出影像转正之效果-The effect of image regularization, etc. make use matlab in hough positive image, detect the image straight portion and aggregated to make
EMR
- 提出了一个强大的在线学习词典（ORDL）算法。它解决了通过转换的问题，以最大限度地减少几个二次函数迭代地，在这种能量可以表示为一简单的方式和它们的衍生物组成的线性系统的上述更新的问题。-Ensemble Manifold Regularization（ORDL）
Nonlinear_Diffusion_v1.2
- 代码支持齐次线性和非线性（总变差和边缘增强流动）的任意尺寸领域各向同性扩散（标量/灰度图像，彩色图像和矩阵向量/结构张量）。添加剂算子分裂（AOS）以及高斯正则化的实现加速计算。-The code supports homogeneous and linear and nonlinear (Total Variation and Edge Enhancing flow) isotropic diffusion of arbitrary dimensioned fields(scalar~gray
LowPatchRank_regularization
- 对于带噪声的周期性纹理图像,提出一种基于二维秩约束的混合正则化去噪方法。该方法结合了全变分去噪理论和方法，并且利用该类图像低块秩的特性，对图像进行了低块秩约束。通过和全变分去噪方法比较可知，对于周期性纹理图像，混合正则化方法能有效地分离出噪声，并且能让图像很好地保持边缘。即使非严格的周期性纹理，该方法依然有很好的去噪效果。-For periodic texture images with noise, a new method based on two dimensional rank cons
dehaze_code
- Efficient Image Dehazing with Boundary Constraint and Contextual Regularization
Image-deblurring-
- 一份关于用正则化去除图像模糊的资料，内含代码以及说明，并附上了仿真结果图-A report on the Regularization blur removal image data containing codes and descr iptions, along with the simulation results of FIG.
ARKFCM_demo
- 脑图像分割基于自适应正则化的基于核的FCM分割，希望对大家有用-Brain Image Segmentation Based on Adaptive Regularization Based on Kernel FCM segmentation, we hope to be useful
thmogenr
- resonance imaging (MRI) data and estimation of intensity inhomogeneities using fuzzy logic. MRI intensity inhomogeneities can be attributed to imperfections in the radio-frequency coils or to problems associated with the acquisition sequences
DSFJKLSDJFKLDSJ
- 通过L曲线确定正则化参数，主要用于磁探测电阻抗中，是我毕设的一部分，可运行。-The L curve is used to determine the regularization parameter, which is mainly used for the magnetic detection electrical impedance.