| Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization W Dong, L Zhang, G Shi, X Wu IEEE Transactions on image processing 20 (7), 1838-1857, 2011 | 1256 | 2011 |
| Nonlocally Centralized Sparse Representation for Image Restoration W Dong, L Zhang, G Shi, X Li IEEE Trans. on Image Processing 22 (4), 1620-1630, 2013 | 1175 | 2013 |
| Two-stage image denoising by principal component analysis with local pixel grouping L Zhang, W Dong, D Zhang, G Shi Pattern recognition 43 (4), 1531-1549, 2010 | 714 | 2010 |
| Nonlocal Image Restoration with Bilateral Variance Estimation: a Low-rank Approach W Dong, G Shi, X Li IEEE Trans. on Image Processing 22 (2), 700-711, 2013 | 548 | 2013 |
| Sparsity-based image denoising via dictionary learning and structural clustering W Dong, X Li, L Zhang, G Shi CVPR 2011, 457-464, 2011 | 499 | 2011 |
| Compressive sensing via nonlocal low-rank regularization W Dong, G Shi, X Li, Y Ma, F Huang IEEE transactions on image processing 23 (8), 3618-3632, 2014 | 383 | 2014 |
| Sparse Representation based Image Interpolation with Nonlocal Autoregressive Modeling W Dong, L Zhang, R Lukac, G Shi IEEE Trans. on Image Processing 22 (4), 1382-1394, 2013 | 354 | 2013 |
| Centralized sparse representation for image restoration W Dong, L Zhang, G Shi 2011 International Conference on Computer Vision, 1259-1266, 2011 | 275 | 2011 |
| Hyperspectral image super-resolution via non-negative structured sparse representation W Dong, F Fu, G Shi, X Cao, J Wu, G Li, X Li IEEE Transactions on Image Processing 25 (5), 2337-2352, 2016 | 221 | 2016 |
| Nonlocal back-projection for adaptive image enlargement W Dong, L Zhang, G Shi, X Wu 2009 16th IEEE International Conference on Image Processing (ICIP), 349-352, 2009 | 163 | 2009 |
| Image restoration via simultaneous sparse coding: Where structured sparsity meets gaussian scale mixture W Dong, G Shi, Y Ma, X Li International Journal of Computer Vision 114 (2), 217-232, 2015 | 129 | 2015 |
| Denoising prior driven deep neural network for image restoration W Dong, P Wang, W Yin, G Shi, F Wu, X Lu IEEE transactions on pattern analysis and machine intelligence 41 (10), 2305 …, 2018 | 112 | 2018 |
| Image reconstruction with locally adaptive sparsity and nonlocal robust regularization W Dong, G Shi, X Li, L Zhang, X Wu Signal Processing: Image Communication 27 (10), 1109-1122, 2012 | 86 | 2012 |
| Enhanced just noticeable difference model for images with pattern complexity J Wu, L Li, W Dong, G Shi, W Lin, CCJ Kuo IEEE Transactions on Image Processing 26 (6), 2682-2693, 2017 | 83 | 2017 |
| Mixed noise removal via Laplacian scale mixture modeling and nonlocal low-rank approximation T Huang, W Dong, X Xie, G Shi, X Bai IEEE Transactions on Image Processing 26 (7), 3171-3186, 2017 | 77 | 2017 |
| Immune memory clonal selection algorithms for designing stack filters W Dong, G Shi, L Zhang Neurocomputing 70 (4-6), 777-784, 2007 | 56 | 2007 |
| Model-assisted adaptive recovery of compressed sensing with imaging applications X Wu, W Dong, X Zhang, G Shi IEEE Transactions on Image Processing 21 (2), 451-458, 2011 | 52 | 2011 |
| Low-rank tensor approximation with laplacian scale mixture modeling for multiframe image denoising W Dong, G Li, G Shi, X Li, Y Ma Proceedings of the IEEE International Conference on Computer Vision, 442-449, 2015 | 51 | 2015 |
| Super-resolution with nonlocal regularized sparse representation W Dong, G Shi, L Zhang, X Wu Visual Communications and Image Processing 2010 7744, 77440H, 2010 | 50 | 2010 |
| Visual orientation selectivity based structure description J Wu, W Lin, G Shi, Y Zhang, W Dong, Z Chen IEEE Transactions on Image Processing 24 (11), 4602-4613, 2015 | 49 | 2015 |
