搜索资源列表
RecPF_v1.1
- 基于压缩感知理论的recPF重构算法,recpf为最新的重构算法，比之前omp之类算法，效果更好-Based on the theory of compressed sensing reconstruction algorithm recPF
cs
- 包含经典的压缩感知重构算法，匹配追踪算法，正交匹配追踪算法等，有测试程序和测试图像，也有一维信号的测试范例。-This code include compressed sensing althorigm ,such as orthorginal matching pursuit, matching pursuit, and it also include examples ablout image and other signals.
M-and-DS-UWB-Design--by-Elanix
- 基于压缩感知的图像重构算法，包括BP,MP,OMP等。-Theory of compressed sensing of img recory
zuidashang
- 最大熵复原算法,用来处理图形复原重构，以及重建-Maximum entropy restoration algorithm
VsFBP
- 基于上述原子搜索原理，提出一个简单的想法，采用“大步长快速接近、小步长逐步逼近”的策略来重构信号，对FBP算法进行改进，即改变其前向步长和后向步长-Based on the above search atomic theory, put forward a simple idea, a "big long fast approaching, gradually approaching small step" strategy to reconstruct the signal, FBP algo
gezhongsuanfa
- 四种压缩传感的重构算法，StOMP,BP,OMP,block_omp-Four kinds of compressed sensing reconstruction algorithm, StOMP, BP, OMP, block_omp
DCT-OMP
- 压缩传感重构算法：稀疏基采用离散余弦变换的omp重构算法-Compressed sensing reconstruction algorithm: sparse basis using the discrete cosine transform reconstruction algorithm omp
cs_romp
- 压缩感知图像重构程序设计，采用正则化正交匹配追踪算法实现图像重构-Compressed sensing image reconstruction program design, using regularized orthogonal matching pursuit algorithm for image reconstruction
Wavelet_OMP
- 压缩感知图像重构程序的设计，采用正交匹配追踪算法重构二维图像-Compressed sensing image reconstruction program design, using two-dimensional orthogonal matching pursuit algorithm for image reconstruction
Wavelet_OMP_dct
- 根据压缩感知理论编写匹配追踪算法OMP程序，实现对图像的分解与重构，稀疏基为DCT基。-According to the theory of compressed perception OMP matching pursuit algorithm procedures, implementation of image decomposition and reconstruction of sparse matrix for DCT.
ADM
- ADM算法，用于基于TV模型的压缩感知图片重构的快速算法，张印所编- ADM algorithm for picture compessing
cs-omp(fenkuai)
- 这是用omp算法来重构图像，这是把它分割为16X16的块进行处理，这其中是把每一个分割的图片先保存，之后再处理没有用blkproc函数。-This algorithm is used to reconstruct an image omp, which is divided into blocks 16X16 it is processed, each of which is divided to first save the image, after the re-treatment with
Infrared-Image-Enhancement
- 针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强 然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像 最后, 由低频子带图像和高频子带图像重构得到增强后的图像。针