搜索资源列表
CS_OMP_fenkuai
- 图像压缩感知重构，重构效果好比OMP算法好。-Images compressed sensing reconstruction, remodeling effects like OMP algorithm is good.
CS--design-MATLAB
- 基于MATLAB的图像压缩感知毕业设计说明书。运用matlab软件，在离散傅里叶变换（DFT）和离散余弦变换（DCT）分块CS的基础上，采用正交匹配追踪算法（OMP）实现了对一维信号和二维图像的高概率重构。将重构结果与原始信号对比，结果表明，只要采样数M（远小于奈奎斯特定理所需要的采样率）能够包含图像所需要的有用信息时，CS算法就能精确的完成对图像的重构，并且重构效果也比较好-Compressed sensing image graduation design specification bas
cs
- 基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了
txcg
- 稀疏重建与压缩感知代码，是有关于图像重构的源代码，对lena图像进行重构-Sparse Reconstruction and compressed sensing code, is the source code on image reconstruction, image reconstruction for lena
CS_recovery_algorithms_OMP_SP_IHT
- 基于压缩感知理论的图像重构算法matlab实现，其中包含OMP，BP,IHT等重构算法-Reconstruction Algorithm Based on the theory of compressed sensing image reconstruction algorithm matlab implementation, which contains the OMP, BP, IHT, etc
SP
- 基于压缩感知，图像压缩重构算法，SP算法，matlab源码，psnr-Based on Compressed Sensing, image reconstruction algorithm compression, SP algorithm, matlab source, psnr
CS_Reconstruction_OMP
- 压缩感知重构图像，采用最经典OMP算法进行稀疏分解，另含两篇相关文献。-Reconstructed image compressed sensing, Use the most classic OMP algorithm sparse decomposition, the other contains two articles in the literature.
BPpdco
- 压缩感知库的BP函数，可以相互学习,有去噪部分的源码，压缩感知基追踪算法的库函数可以直接用于基追踪的图像重构-BP compressed sensing library function, can learn each other, we have a de-noising part of the source code, compressed sensing based tracking algorithm library functions can be directly used for
cs_omp
- 压缩感知matlab代码。应用对象为二维图像，重构算法为正交匹配追踪算法。-Compressedsing Sensing. Reconsitution with Orthogonal Matching Pursuit.
cs_sp
- 压缩感知matlab代码。重构算法为子空间算法。lena图像重构效果较好。-Compressed Sensing. Reconsitution with SP.
software
- 压缩感知重构算法，包括OMP，SP和Lena图像-Compressing Sencing
TVAL3_v1.0
- 用于压缩感知重构的TV算法,主要解决压缩感知中图像重构的问题-Used to compress TV algorithm to reconstruct the perception
mp_restruction
- 这是一个经典的对图像及信号进行压缩感知重构的示例，希望能够帮助刚开始学习这一领域的-This is a classic example of the image signal and compressed sensing reconstruction, hoping to help just beginning to learn in this area
deconvtv_v1
- 基于全变差的视频图像压缩感知重构算法论文及代码-The image/video compressive sensing reconstruction algorithm based on total variation
CS_SAMP
- 压缩感知SAMP 算法，以及用此算法实现一维信号和二维图像的重构，亲自编写调试可用-The SAMP algorithm for compressive sensing and using this method to reconstruct the 1D signal and 2D image.
COPRESSION-SENSING
- 压缩感知在图像视频中的一些应用，里面有很多重构例子-compression sensing application in image and video
CS_CoSaMP
- 一维的图像压缩感知重构代码，使用了mop方法(One dimensional compressed sensing reconstruction)
NN_BP
- 用matlab实现BP算法编程，用于压缩感知重构，可用于数据图像重构。(Using MATLAB to realize BP algorithm programming. It can be used for compressed sensing reconstruction,and can be used for data and image reconstruction.)
BD3D-AMP (DAMP)作业
- 图像重构 压缩感知 重构后对图像使用BM3d 进行去噪(compress sensing DAMP)