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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
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
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
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
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- 一个简单的图像稀疏分解的例子，用了PSO—OMP分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using PSO-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PSO—ICA分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using PSO-ICA 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—PCA分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using PSO-PCA decomposition and get a better reconstruction images
Mixedthreshold_Image-Recovery
- 代码给出了基于混合门限带迭代步长的稀疏图像重构。特别地，压缩采样矩阵为抽样傅里叶变换矩阵，利用2D-FFT,大大降低了计算复杂度。-The mixedthreshold sparse image reconstruction with step is given in the package. In particular， the 2D-FFT is used to disign the sample matrix, which can reduce the computational comp
Wavelet_OMP
- 本程序实现图像LENA的压缩传感,包括图像的稀疏表示，图像重构等等子函数，运行效果良好-The program image LENA compressive sensing, including the sparsity of the image, image reconstruction, and so subfunction running well
ysgz
- 对256×256大小的8bit灰度lena图像进行仿真计算，稀疏矩阵采用DCT矩阵，观测矩阵采用高斯随机矩阵，重构算法采用OMP（正交匹配追踪）算法。 -256256 size 8bit grayscale lena image simulation, sparse matrix DCT matrix, and observation matrix using Gaussian random matrix reconstruction algorithm using OMP (orthogo
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