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MCA算法源程序，可用于稀疏分解，信号分类，图像修复，信号还原-MCA algorithm source code can be used for sparse decomposition, signal classification, image restoration, signal reduction
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压缩感知中的迭代恢复算法，是匹配追踪的一种变形。Cosamp稀疏恢复算法。-Iterative restoration in compressed sensing algorithm is a variant of matching pursuit. Cosamp sparse recovery algorithm.
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可实现对残缺图像的修复，应用了基于mp算法的图像稀疏分解思想。过程中考虑到了原子库原子的能量特性-Enables the restoration of fragmentary images, applications mp-based algorithm for image sparse decomposition ideas. The process of taking into account the characteristics of atomic energy of the atom
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一个快速而精确的一阶稀疏图像复原算法。主要应用于图像去噪声。-A fast and accurate first-order sparse image restoration algorithm. Is mainly used in the image to the noise.
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基于稀疏分解的图像信息修复，图片展示了一被“破坏”lina图像，采用此程序可以得到较好修复-Sparse decomposition based on image information restoration, image shows a being " destroyed" lina image, the use of this procedure can get a better fix
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Sparse Representation or Collaborative Representation Which Helps Face Recognition
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基于信号稀疏分解的形态成分分析来进行图像的分解和修复原作者的英文原文献-Morphological component analysis based on the signal sparse decomposition of the image decomposition and restoration of the original author of the original English literature
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利用块稀疏的方法求解感知矩阵，在压缩感知、图像恢复方面都可以应用-Method for solving block sparse perception matrix in compressed sensing, image restoration can be applied
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这是基于稀疏表示的图像重建，用来做图像去模糊或超分辨，绝对可以用-Sparse Representation for Image Restoration
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基于稀疏表达的图像恢复算法研究
对于研究图像恢复的程序员来说是一篇不错的参考文章-Image restoration algorithms based on sparse expression
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利用稀疏处理单幅图像运动模糊，盲运动图像复原算法。-Sparse handle single image motion blur, blind image restoration algorithm sport。
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This algorithm solves the otimization problem
min_x \| y - A x \|_2^2 + lambda Phi(x)
and has applications in compressed sensing, image restoration
and reconstruction, sparse regression, and several other problems.
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gmcalab 快速广义的形态分量分析算法，用于图像修复，稀疏分解、降噪等，用途广泛。从mca主页下载的-gmcalab fast generalized morphological component analysis algorithm for image restoration, sparse decomposition, noise reduction, and versatile. Mca downloaded from the home page
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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.
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Group-based Sparse Representation for Image Restoration
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稀疏表示的毕业参考论文，在图像去噪、图像修复、人脸识别及压缩感知等图像处理领域中的应用进行了总结.-Sparse representation of graduation reference papers, summarized in the image denoising, image restoration, face recognition and compressed sensing and other image processing applications
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图像去噪修复的典型算法代码包，包含基于稀疏表示的KSVD图像去噪，BM3D彩色图像去噪代码，TV图像修复代码，MCA图像修复代码。(Typical image denoising algorithm code package, including sparse representation based on KSVD image denoising, BM3D color image denoising code, TV image restoration code, MCA image res
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中心稀疏表达去除高斯噪声，iccv会议论文源码，内含文献，原文题目Centralized Sparse Representation for Image Restoration(Centralized Sparse Representation for Image Restoration)
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包含完整的例程，包括OMP算法，字典显示代码等(Contains complete routines, including the OMP algorithm, dictionary display code, and so on)
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Nonlocally Centralized Sparse Representation
for Image Restoration
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