Baoshun Shi

发表

SBM3D: Sparse Regularization Model Induced by BM3D for Weighted Diffraction Imaging

Shuzhen Chen, Baoshun Shi, Qiusheng Lian, 2018, IEEE Access.

Sparse representation utilizing tight frame for phase retrieval

Shuzhen Chen, Baoshun Shi, Qiusheng Lian, 2015, EURASIP J. Adv. Signal Process..

FASPR: A fast sparse phase retrieval algorithm via the epigraph concept

Ye Tian, Shuzhen Chen, Baoshun Shi, 2018, Digit. Signal Process..

PPR: Plug-and-play regularization model for solving nonlinear imaging inverse problems

Baoshun Shi, Qiusheng Lian, Fan Xiaoyu, 2019, Signal Process..

Coded diffraction imaging via double sparse regularization model

Ye Tian, Shuzhen Chen, Baoshun Shi, 2018, Digit. Signal Process..

Compressed sensing magnetic resonance imaging based on dictionary updating and block-matching and three-dimensional filtering regularisation

Shuzhen Chen, Baoshun Shi, Qiusheng Lian, 2016, IET Image Process..

Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method

Baoshun Shi, Qiusheng Lian, Huibin Chang, 2020, Signal Process..

Multi-scale Cross-path Concatenation Residual Network for Poisson denoising

Baoshun Shi, Qiusheng Lian, Xiaohua Zhang, 2019, IET Image Process..

Constrained phase retrieval: when alternating projection meets regularization

Xin Huang, Baoshun Shi, Qiusheng Lian, 2018 .

Compressed sensing MRI based on the hybrid regularization by denoising and the epigraph projection

Baoshun Shi, Qiusheng Lian, Xiaohua Zhang, 2020, Signal Process..

Compressed sensing MRI based on image decomposition model and group sparsity.

Baoshun Shi, Xiaoyu Fan, Qiusheng Lian, 2019, Magnetic resonance imaging.

Gain-phase errors calibration of nested array for underdetermined direction of arrival estimation

Ye Tian, Baoshun Shi, Yanru Wang, 2019, AEU - International Journal of Electronics and Communications.

Compressed-Sensing MRI Based on Adaptive Tight Frame in Gradient Domain

Baoshun Shi, Qiusheng Lian, Xiaoyu Fan, 2018 .

Transfer orthogonal sparsifying transform learning for phase retrieval

Shuzhen Chen, Baoshun Shi, Qiusheng Lian, 2017, Digit. Signal Process..

Resolution enhancement in digital in-line holography with sparsity

Baoshun Shi, Qiusheng Lian, Xiaoyu Fan, 2018, Optical Engineering.