搜索资源列表
mp_fft.rar
- 利用FFT快速算法来实现二维图像基于匹配追踪算法的稀疏分解。,Fast Algorithm for the use of FFT to achieve two-dimensional image matching tracking algorithm based on sparse decomposition.
Matlab-Code-for-Image-Representation
- 附件程序为图像稀疏表示的源代码，程序用matlab编写，能正常运行。-Sparse representation of the image attachment program source code, programs written with matlab able to function properly.
压缩感知图像重构的算法
- 这是我自己编写的压缩感知图像重构的算法，用于学习，先稀疏，再观测系数，最后重建-This is your perception image compression algorithm used to study and review, thin, and observation of the reconstruction and
ompbox
- 稀疏表示正交匹配追踪算法matlab源代码-sparse representation
compressed-sensing-procedure
- 基于压缩感知的图像处理，分别使用二维DCT、FFT和一维dwt变换对图像信号进行稀疏变换，然后使用正交匹配追踪算法进行重构，在进行相应的逆变换-This is a image processing procedure based on compressed sensing which respectively uses two-dimensional DCT, FFT and one-dimensional dwt transform to sparse the image signal a
picture
- 利用FFT快速运算技术来实现在二维图像领域上的稀疏分解过程。-The use of FFT techniques to achieve fast computing in the field of two-dimensional image of the sparse decomposition process.
ksvdbox12
- 采用KSVD算法通过训练的方法来构造稀疏过完备字典，在使用时一定要确保已装有ompbox9。可用于语音，图像信号处理等的稀疏字典构造-KSVD algorithm using the method of training to construct the sparse over-complete dictionary, in use, make sure have been installed ompbox9. Can be used for the sparse dictionary cons
MPimage
- 使用MP将图像稀疏分解并且精确重构，其中使用2D的GA原子-MP will use the image sparse decomposition and perfect reconstruction, in which the GA using 2D atomic
MCA2aaBcr3.8
- 形态学成分分析二维图像(矩阵)使用高度复杂词典和稀疏矩阵促进处罚。-MCA of a 2D images using highly redundant dictionaries and sparstity promoting penalties.
Matlab-for-Image-Representation
- 图像稀疏表示的MATLAB编程代码，有图-MATLAB sparse representation of the image programming code, a map
KSVD_Matlab_ToolBox
- 图像稀疏编码的一种方法，可用于基于稀疏表示的图像压缩、去噪等-Sparse image coding method can be used for sparse representation-based image compression, denoising, et
lunwen
- 关于图像稀疏表示的鲁棒掌纹处理，在国内很少有基于稀疏的掌纹处理文章-Robust sparse representation on the palm print image processing, very few in the country' s palm with posts based on sparse
Demo_CS_BP
- 压缩感知中基追踪重构方法，用于稀疏信号的重构，本程序用于图像重构-Based tracking in compressed sensing reconstruction methods for sparse signal reconstruction, the procedure used for image reconstruction
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- 一个简单的图像稀疏分解的例子，用了Bp分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using Bp decomposition and get a better reconstruction images
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- 一个简单的图像稀疏分解的例子，用了OMP分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, with the OMP decomposition and get a better reconstruction images
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- 一个简单的图像稀疏分解的例子，用了MP分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using the MP decomposition and get a better reconstruction images
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- 一个简单的图像稀疏分解的例子，用了PSO分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using the MP decomposition and get a better reconstruction images
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- 一个简单的图像稀疏分解的例子，用了GA分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using GA decomposition and get a better reconstruction images
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- 一个简单的图像稀疏分解的例子，用了PSO—GA分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using PSO-GA decomposition and get a better reconstruction images