搜索资源列表
compressedsensing_OMP
- 压缩感知 正交匹配追踪一些人关心压缩感知与雷达成像,他们把稀疏表示放在最重要的地方,以为在雷达成像中成功实现压缩感知关键是稀疏表示; 事实上并不是如此。我们知道:压缩感知需要建立AX=B,且该方法具有较低的抑制信噪比能力;另外雷达成像的基础是雷达 信号与目标的相互作用,也就是电磁波与介质的相互作用,该相互作用是一个非常复杂的非线性问题,因此研究这个问题与 压缩感知的关系才是解决雷达成像问题的关键点所在。从另
cetin_DSS04
- 一种针对稀疏孔径的合成孔径雷达的区域加强成像算法-Region-Enhanced Imaging for Sparse-Aperture Passive Radar
omp
- 用小波变换作为稀疏基,采取OMP算法将图像重建恢复,由于算法计算量大会导致成像时间过长,程序用改进的分块处理缩短了时间,-Wavelet transform as a sparse base, take OMP algorithms to restore the image reconstruction algorithm to calculate the General Assembly led to the long imaging
PAPER1
- 随机间距稀疏三元循环相位掩膜矩阵可压缩成像.pdf-Sparse Trinary Circulant Measurement Matrices with Random Spacing in Compressive Imaging
paper3
- 基于小波稀疏表示的压缩感知SAR 成像算法研究.pdf-A Compressive Sensing Imaging Approach Based on Wavelet Sparse Representation
Autofocus-ISAR-Sparse-represetation
- 基于稀疏表示的逆合成孔径雷达自聚焦成像,讲述了自聚焦方法-Based on sparse representation inverse synthetic aperture radar imaging self-focusing
ISAR-sparse-aperture
- 利用稀疏孔径进行逆合成孔径雷达的高分辨成像-Sparse aperture inverse synthetic aperture radar for high-resolution imaging
main
- burg距离方位分别外推超分辨算法,实现对稀疏数据的超分辨成像。-burg extrapolation distance and orientation were super-resolution algorithm to achieve the super-resolution imaging sparse data.
基于聚类稀疏描述的图像去噪
- 图像去噪是图像处理中一项典型的技术,在实际中该项技术有很多应用,因为现实中的数字图像在数字化和传输过程中常受到成像设备与外部环境噪声干扰等影响。图像本身具有很强的冗余特性,近年来,在图像处理中提出用冗余的字典来对图像进行稀疏描述,而应用稀疏描述的思想可以有效的对含噪图像去除噪声。
ktslr_codes
- 稀疏低秩的动态MRI成像代码,基于CPU的matlab代码版本,有代码加速优化处理-k-t SLR: Accelerated dynamic MRI using low rank and sparse penalties (CPU version: MATLAB codes)
Demo_PANO_SparseMRI
- 稀疏化方法的MRI成像;利用快分割的方法,减少数据采集的事件,提高图像重建的质量。-MRI imaging method sparse
CSGIv1.1
- 基于压缩感知的关联成像程序,计算鬼成像,过完备稀疏表示-Based on compressed sensing imaging procedures associated with calculating ghost imaging, over-complete sparse representation
Demo_Undersampling_FourierDomain
- 采用傅里叶降采样方法恢复MRI图像,压缩感知稀疏重构在核磁共振成像中的运用-Using Fourier down sampling method of MRI image restoration, the use of compressed sensing sparse reconstruction in magnetic resonance imaging.
yall1
- 正交匹配追踪(OMP)算法的实现程序,用于压缩感知以及稀疏成像方面-Orthogonal Matching Pursuit (OMP) algorithm to achieve the program, aspects of compressed sensing and imaging for sparse
sanbitryfft
- 三臂型稀疏孔径的MTF模拟,以及成像分辨率的模拟- Analog MTF analog three-armed sparse aperture, as well as imaging resolution
tenRPCA
- 视频背景消除,利用了稀疏重构的理论,成像结果非常理想,仅供参考-sparse repretation and reconstruction
TVAL3_v1.0
- 压缩感知成像,基于稀疏表达,一种常用成熟的TVAL3压缩感知算法(the single pixel camera, compressive sensing, TVAL3)
DeconvolutionCode-LevinEtAl07
- 应用于超分辨成像; 图像处理; 图像重建;图像恢复(Deconvolution using natural image priors Gaussian Prior Deconvolution)
OMP
- 一种基于稀疏算法的成像成像,主要是压缩感知下的稀疏成像算法(An imaging algorithm based on sparse algorithm is mainly a sparse imaging algorithm under compression perception)
Golay3_frequency
- 光学稀疏孔径成像matlab程序,以Golay3为例(Optical sparse aperture imaging simulation)