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Reconstruction using local sparsity:a novel regularization technique and an asymptotic analysis of spatial sparsity priors

机译：使用局部稀疏性进行重构：一种新颖的正则化技术和空间稀疏性先验的渐近分析

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Heins P. (Pia);
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年度 2015
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1. Multi-energy CT reconstruction using tensor nonlocal similarity and spatial sparsity regularization [J] . Wenkun Zhang, Ningning Liang, Zhe Wang, Quantitative Imaging in Medicine and Surgery . 2020,第10期

机译：使用张量非局部相似性和空间稀疏正则化的多能量CT重建
2. MR image super-resolution reconstruction using sparse representation, nonlocal similarity and sparse derivative prior [J] . Di Zhang, Jiazhong He, Yun Zhao, Computers in Biology and Medicine . 2015,第Null期

机译：使用稀疏表示，非局部相似性和稀疏导数先验的MR图像超分辨率重建
3. MR image super-resolution reconstruction using sparse representation, nonlocal similarity and sparse derivative prior [J] . Di Zhang, Jiazhong He, Yun Zhao, Computers in Biology and Medicine . 2015,第Null期

机译：MR图像超分辨率重建使用稀疏表示，非本体相似性和稀疏导数先前
4. Accelerating techniques for Sparse Regularization based Tomography Reconstruction [C] . Liyan Wang, Zhihui Wei, Shouhua Luo International conference on digital image processing . 2013

机译：基于稀疏正则的层析成像重建技术
5. Sparse multivariate analyses via ell1-regularized optimization problems solved with Bregman iterative techniques. [D] . Rohrbacker, Nicholas. 2012

机译：通过Bregman迭代技术解决的ell1-regularized优化问题进行的稀疏多元分析。
6. Multi-energy CT reconstruction using tensor nonlocal similarity and spatial sparsity regularization [O] . Wenkun Zhang, Ningning Liang, Zhe Wang, 2020

机译：使用张量非局部相似性和空间稀疏正则化的多能量CT重建
7. Performance Analysis of Weighted Encoding with Sparse Nonlocal Regularization and Spatially Adaptive Iterative Filtering Boost Denoising: A Review [O] . Shivam Shukla 2016

机译：稀疏非局部正则化和空间自适应迭代滤波Boost去噪的加权编码性能分析
8. Imputing Missing Data via Sparse Reconstruction Techniques, Executive Summary. [R] . Caramanis, C. 2017

机译：通过稀疏重建技术处理缺失数据，执行摘要。

Reconstruction using local sparsity:a novel regularization technique and an asymptotic analysis of spatial sparsity priors

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