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eess.IV2019
Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation
Yunyi Li, Li Liu, Yu Zhao +2
Group sparse representation (GSR) based method has led to great successes in various image recovery tasks, which can be converted into a low-rank matrix minimization problem. As a…
eess.IV2019
From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration
Yunyi Li, Guan Gui, Xiefeng Cheng
Recently, low-rank matrix recovery theory has been emerging as a significant progress for various image processing problems. Meanwhile, the group sparse coding (GSC) theory has led…
eess.IV2019
ADMM-IDNN: Iteratively Double-reweighted Nuclear Norm Algorithm for Group-prior based Nonconvex Compressed Sensing via ADMM
Yunyi Li, Fei Dai, Yu Zhao +2
Group-prior based regularization method has led to great successes in various image processing tasks, which can usually be considered as a low-rank matrix minimization problem. As…