Jing Qin
Jing Qin
Assistant Professor, University of Kentucky
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Zitiert von
Zitiert von
A new detail-preserving regularization scheme
W Guo, J Qin, W Yin
SIAM journal on imaging sciences 7 (2), 1309-1334, 2014
Poisson image denoising based on fractional-order total variation
M Rahman Chowdhury, J Zhang, J Qin, Y Lou
Inverse Problems & Imaging 14 (1), 2020
Non-blind and blind deconvolution under Poisson noise using fractional-order total variation
MR Chowdhury, J Qin, Y Lou
Journal of Mathematical Imaging and Vision 62 (9), 1238-1255, 2020
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity
F Li, S Osher, J Qin, M Yan
Journal of Scientific Computing 69 (1), 82-106, 2016
Blind hyperspectral unmixing based on graph total variation regularization
J Qin, H Lee, JT Chi, L Drumetz, J Chanussot, Y Lou, AL Bertozzi
IEEE Transactions on Geoscience and Remote Sensing 59 (4), 3338-3351, 2020
A novel regularization based on the error function for sparse recovery
W Guo, Y Lou, J Qin, M Yan
Journal of Scientific Computing 87 (1), 31, 2021
Regularized Kaczmarz Algorithms for Tensor Recovery
X Chen, J Qin
SIAM Journal on Imaging Sciences 14 (4), 1439-1471, 2021
s-SMOOTH: Sparsity and smoothness enhanced EEG brain tomography
Y Li, J Qin, YL Hsin, S Osher, W Liu
Frontiers in neuroscience 10, 222307, 2016
A robust fuzzy local information and -norm distance based image segmentation method
F Li, J Qin
IET Image Processing 11 (4), 217-226, 2017
Domain decomposition method for image deblurring
J Xu, HB Chang, J Qin
Journal of computational and applied mathematics 271, 401-414, 2014
Stochastic Greedy Algorithms For Multiple Measurement Vectors
J Qin, S Li, D Needell, A Ma, R Grotheer, C Huang, N Durgin
Inverse Problems & Imaging 15 (1), 79-107, 2021
EEG Source Imaging Based on Spatial and Temporal Graph Structures
J Qin, F Liu, S Wang, J Rosenberger
2017 International Conference on Image Processing Theory, Tools and …, 2017
Shearlet-TGV Based Fluorescence Microscopy Image Deconvolution
J Qin, X Yi, S Weiss, S Osher
UCLA CAM Report, 2014
An efficient compressive sensing MR image reconstruction scheme
J Qin, W Guo
2013 IEEE 10th International Symposium on Biomedical Imaging, 306-309, 2013
Iterative hard thresholding for low CP-rank tensor models
R Grotheer, S Li, A Ma, D Needell, J Qin
Linear and Multilinear Algebra, 1-17, 2021
Automatic prior shape selection for image edge detection with modified Mumford–Shah model
Y Shi, Z Huo, J Qin, Y Li
Computers & Mathematics with Applications 79 (6), 1644-1660, 2020
L 1-2 Regularized Logistic Regression
J Qin, Y Lou
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 779--783, 2019
Graph Fractional-Order Total Variation EEG Source Reconstruction
Y Li, J Qin, S Osher, W Liu
38th Annual International Conference of the IEEE Engineering in Medicine and …, 2016
Fast blind hyperspectral unmixing based on graph laplacian
J Qin, H Lee, JT Chi, Y Lou, J Chanussot, AL Bertozzi
2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019
Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization
F Liu, S Wang, J Qin, Y Lou, J Rosenberger
Brain Informatics 2018, 304-316, 2018
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