Deblurring images: matrices, spectra, and filtering PC Hansen, JG Nagy, DP O'leary Society for Industrial and Applied Mathematics, 2006 | 1380 | 2006 |
Restoring images degraded by spatially variant blur JG Nagy, DP O'Leary SIAM Journal on Scientific Computing 19 (4), 1063-1082, 1998 | 329 | 1998 |
Iterative methods for image deblurring: a Matlab object-oriented approach JG Nagy, K Palmer, L Perrone Numerical Algorithms 36, 73-93, 2004 | 295 | 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 | 254 | 2008 |
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 | 238 | 2019 |
Preconditioned iterative regularization for ill-posed problems M Hanke, J Nagy, R Plemmons Institute for Mathematics and its Applications (USA), 1992 | 185 | 1992 |
Enforcing nonnegativity in image reconstruction algorithms JG Nagy, Z Strakos Mathematical Modeling, Estimation, and Imaging 4121, 182-190, 2000 | 167 | 2000 |
Iterative image restoration using approximate inverse preconditioning JG Nagy, RJ Plemmons, TC Torgersen IEEE Transactions on Image Processing 5 (7), 1151-1162, 1996 | 146 | 1996 |
Restoration of atmospherically blurred images by symmetric indefinite conjugate gradient techniques M Hanke, JG Nagy Inverse problems 12 (2), 157, 1996 | 145 | 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 | 145 | 1993 |
Kronecker product and SVD approximations in image restoration J Kamm, JG Nagy Linear algebra and its applications 284 (1-3), 177-192, 1998 | 138 | 1998 |
Numerical methods for coupled super-resolution J Chung, E Haber, J Nagy Inverse Problems 22 (4), 1261, 2006 | 126 | 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 | 101 | 2000 |
Optimal Kronecker product approximation of block Toeplitz matrices J Kamm, JG Nagy SIAM Journal on Matrix Analysis and Applications 22 (1), 155-172, 2000 | 98 | 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 | 97 | 1994 |
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 | 93 | 2006 |
Fast iterative image restoration with a spatially varying PSF JG Nagy, DP O'Leary Advanced Signal Processing: Algorithms, Architectures, and Implementations …, 1997 | 93 | 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 | 87 | 2006 |
Generalized Arnoldi--Tikhonov method for sparse reconstruction S Gazzola, JG Nagy SIAM Journal on Scientific Computing 36 (2), B225-B247, 2014 | 80 | 2014 |
An efficient iterative approach for large-scale separable nonlinear inverse problems J Chung, JG Nagy SIAM Journal on Scientific Computing 31 (6), 4654-4674, 2010 | 77 | 2010 |