Nonconvex \(L_{1/2}\)-regularized nonlocal self-similarity denoiser for compressive sensing based CT reconstruction

DOI10.1016/j.jfranklin.2023.01.041zbMath1516.92015arXiv2205.07185OpenAlexW4321460368MaRDI QIDQ6099823

Jianxun Liu, Xiangling Ding, Yunyi Li, Yiqiu Jiang, Guan Gui, HengMin Zhang

Publication date: 21 June 2023

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2205.07185

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Cites Work

• Nearly unbiased variable selection under minimax concave penalty
• Nonconvex nonsmooth low-rank minimization for generalized image compressed sensing via group sparse representation
• An algorithm for total variation minimization and applications
• Multiple-prespecified-dictionary sparse representation for compressive sensing image reconstruction with nonconvex regularization
• Exact matrix completion via convex optimization
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model
• Group-Based Sparse Representation for Image Restoration
• Compressive Sensing via Nonlocal Low-Rank Regularization
• Image Restoration by Iterative Denoising and Backward Projections
• Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation
• Discrete Cosine Transform
• Nonlocally Centralized Sparse Representation for Image Restoration
• A Review of Image Denoising Algorithms, with a New One
• Compressed sensing

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