| Deblurring images: matrices, spectra, and filtering PC Hansen, JG Nagy, DP O'leary Society for Industrial and Applied Mathematics, 2006 | 1106 | 2006 |
| Restoring images degraded by spatially variant blur JG Nagy, DP O'Leary SIAM Journal on Scientific Computing 19 (4), 1063-1082, 1998 | 292 | 1998 |
| Iterative methods for image deblurring: a Matlab object-oriented approach JG Nagy, K Palmer, L Perrone Numerical Algorithms 36 (1), 73-93, 2004 | 279 | 2004 |
| A weighted GCV method for Lanczos hybrid regularization J Chung, JG Nagy, DP O’leary Electronic Transactions on Numerical Analysis 28 (149-167), 2008, 2008 | 221 | 2008 |
| Preconditioned iterative regularization M Hanke, JG Nagy, RJ Plemmons Numerical linear algebra, 141-163, 1992 | 178 | 1992 |
| Enforcing nonnegativity in image reconstruction algorithms JG Nagy, Z Strakos Mathematical Modeling, Estimation, and Imaging 4121, 182-190, 2000 | 155 | 2000 |
| Restoration of atmospherically blurred images by symmetric indefinite conjugate gradient techniques M Hanke, JG Nagy Inverse problems 12 (2), 157, 1996 | 139 | 1996 |
| FFT-based preconditioners for Toeplitz-block least squares problems RH Chan, JG Nagy, RJ Plemmons SIAM journal on numerical analysis 30 (6), 1740-1768, 1993 | 138 | 1993 |
| Iterative image restoration using approximate inverse preconditioning JG Nagy, RJ Plemmons, TC Torgersen IEEE Transactions on Image Processing 5 (7), 1151-1162, 1996 | 136 | 1996 |
| IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems S Gazzola, PC Hansen, JG Nagy Numerical Algorithms 81 (3), 773-811, 2019 | 129 | 2019 |
| Kronecker product and SVD approximations in image restoration J Kamm, JG Nagy Linear Algebra and its Applications 284 (1-3), 177-192, 1998 | 125 | 1998 |
| Numerical methods for coupled super-resolution J Chung, E Haber, J Nagy Inverse Problems 22 (4), 1261, 2006 | 118 | 2006 |
| Quasi-Newton approach to nonnegative image restorations M Hanke, JG Nagy, C Vogel Linear Algebra and its applications 316 (1-3), 223-236, 2000 | 92 | 2000 |
| Circulant preconditioned Toeplitz least squares iterations RH Chan, JG Nagy, RJ Plemmons SIAM Journal on Matrix Analysis and Applications 15 (1), 80-97, 1994 | 92 | 1994 |
| Optimal Kronecker product approximation of block Toeplitz matrices J Kamm, JG Nagy SIAM Journal on Matrix Analysis and Applications 22 (1), 155-172, 2000 | 90 | 2000 |
| Covariance-preconditioned iterative methods for nonnegatively constrained astronomical imaging JM Bardsley, JG Nagy SIAM journal on matrix analysis and applications 27 (4), 1184-1197, 2006 | 88 | 2006 |
| Fast iterative image restoration with a spatially varying PSF JG Nagy, DP O'leary Advanced Signal Processing: Algorithms, Architectures, and Implementations …, 1997 | 84 | 1997 |
| A computational method for the restoration of images with an unknown, spatially-varying blur J Bardsley, S Jefferies, J Nagy, R Plemmons Optics express 14 (5), 1767-1782, 2006 | 81 | 2006 |
| Generalized Arnoldi--Tikhonov method for sparse reconstruction S Gazzola, JG Nagy SIAM Journal on Scientific Computing 36 (2), B225-B247, 2014 | 73 | 2014 |
| Steepest descent, CG, and iterative regularization of ill-posed problems JG Nagy, KM Palmer BIT Numerical Mathematics 43 (5), 1003-1017, 2003 | 69 | 2003 |
