搜索资源列表
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
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
overcomplete
- 收集的几篇关于稀疏性号冗余字典建立的中文文献，对初学者很有参考价值。-Collection of several dictionaries on the sparsity of the establishment of redundant number of Chinese literature, a good reference for beginners.
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
Video-Inpainting-using-Sparsity
- paper for the video inpainting tecniques
Patch_Sparsity
- 算法仿真：论文《Image Inpaiting by Patch Propagation Using Patch Sparsity》中提出的图像修复算法的； 1）使用了OpenCV2.2.0开源机器视觉库，IDE为VS2010 2）设置系统环境变量OPENCV_DIR为OpenCV的安装路径，如C：\OpenCV2.2；VS2010属性页文件依赖于此环境变量，在Path中添加C：\OpenCV2.2\bin，更具体的环境配置可以查看OpenCV相关手册设置属性页文件或Email:zhen
tutorial-compression-perception
- tutorial压缩感知代码。压缩感知，又称压缩采样，压缩传感。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号-The tutorial compression-aware code. Compressed sensing, also known as compressed sampling, compressed sensing. It as a new sampling theory
CS_OMP
- 1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构-1-D signal the realization of compressed sensing (orthogonal to match the tracking method Orthogonal Matching Pursuit) number of measurements M = K* log (N/K),
Blind-Deconvolution-
- Blind Deconvolution Using a Normalized Sparsity Measure 的代码-matlab code for Blind Deconvolution Using a Normalized Sparsity Measure
Sparsity-Collaborative-Track
- 基于稀疏表示的目标跟踪,对于稀疏表示应用于图像处理的同志可是一个借鉴。-Robust Object Tracking via Sparsity-based Collaborative Model
3-3-1
- 基于图像的稀疏性用OMP算法对图像去噪，思路清晰，容易理解-Based on the sparsity of the image with OMP algorithm for image denoising, clear, easy to understand
CSR_Denoising
- Weisheng Dong and Xin Li. "Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering"基于聚类的图像稀疏去噪这篇论文的去噪代码。-Weisheng Dong and Xin Li. " Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering" C
PoissonRecon
- Poisson surface reconstruction creates watertight surfaces from oriented point sets. In this work we extend the technique to explicitly incorporate the points as interpolation constraints. The extension can be interpreted as a generalization of
8-(1)
- 图像修复是对图像中破损区域进行信息填充，以减少图像破损所带来的信息损失的过程。 传统的图像修复方法需要依赖图像的具体结构来制定相应的修复方法，压缩感知理论的提出，使得可以利 用信号的稀疏性来对图像进行修复。基于K 奇异值分解（KSVD）与形态学成分分析（MCA，Morphological Component Analysis）的图像修复方法首先采用形态学成分分析方法对破损图像进行特征分析，将其分解 为结构部分和纹理部分；然后基于学习型字典KSVD分别对这两部分进行过完备字典训练；
bcs-spl-1.5-1.tar
- 一种适用于图像的压缩感知采样策略和重建算法，采样策略是基于块的图像稀疏采样矩阵，重建算法为smoothed projected Landweber（SPL）迭代算法。-BCS-SPL combines block-based compressed-sensing sampling (BCS) of an image with a smoothed projected-Landweber (SPL) iterative reconstruction. Sampling is driven by r
blinddeconv
- implementation of the blind deconvolution algorithm presented in the paper: Blind Deconvolution using a Normalized Sparsity Measure"- implementation of the blind deconvolution algorithm presented in the paper: "Blind Deconvolution usin
XIXHUDU
- 压缩感知理论中的稀疏度自适应算法程序，很好的-Compressed sensing theory sparsity adaptive algorithm procedures, very good stuff
Block-TVNLR
- Image Compressive Sensing Recovery via Collaborative Sparsity
WaveletOMP
- 冗余字典用于处理图像恢复 以及用于处理信号稀疏性-Redundant dictionary for processing image restoration and means for processing signals sparsity
LightField_SFFT
- 光场图像的重建，利用连续傅立叶域的稀疏性-light field reconstrustion using sparsity in the continuous fourier domain