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James Nagy
James Nagy
Professor of Mathematics and Computer Science, Emory University
Verified email at emory.edu - Homepage
Title
Cited by
Cited by
Year
Deblurring images: matrices, spectra, and filtering
PC Hansen, JG Nagy, DP O'leary
Society for Industrial and Applied Mathematics, 2006
13202006
Restoring images degraded by spatially variant blur
JG Nagy, DP O'Leary
SIAM Journal on Scientific Computing 19 (4), 1063-1082, 1998
3201998
Iterative methods for image deblurring: a Matlab object-oriented approach
JG Nagy, K Palmer, L Perrone
Numerical Algorithms 36, 73-93, 2004
2932004
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
2452008
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
2052019
Preconditioned iterative regularization for ill-posed problems
M Hanke, J Nagy, R Plemmons
Institute for Mathematics and its Applications (USA), 1992
1831992
Enforcing nonnegativity in image reconstruction algorithms
JG Nagy, Z Strakos
Mathematical Modeling, Estimation, and Imaging 4121, 182-190, 2000
1672000
Iterative image restoration using approximate inverse preconditioning
JG Nagy, RJ Plemmons, TC Torgersen
IEEE Transactions on Image Processing 5 (7), 1151-1162, 1996
1451996
Restoration of atmospherically blurred images by symmetric indefinite conjugate gradient techniques
M Hanke, JG Nagy
Inverse problems 12 (2), 157, 1996
1441996
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
1441993
Kronecker product and SVD approximations in image restoration
J Kamm, JG Nagy
Linear algebra and its applications 284 (1-3), 177-192, 1998
1351998
Numerical methods for coupled super-resolution
J Chung, E Haber, J Nagy
Inverse Problems 22 (4), 1261, 2006
1222006
Quasi-Newton approach to nonnegative image restorations
M Hanke, JG Nagy, C Vogel
Linear Algebra and its applications 316 (1-3), 223-236, 2000
992000
Optimal Kronecker product approximation of block Toeplitz matrices
J Kamm, JG Nagy
SIAM Journal on Matrix Analysis and Applications 22 (1), 155-172, 2000
952000
Circulant preconditioned Toeplitz least squares iterations
RH Chan, JG Nagy, RJ Plemmons
SIAM Journal on Matrix Analysis and Applications 15 (1), 80-97, 1994
941994
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
922006
Fast iterative image restoration with a spatially varying PSF
JG Nagy, DP O'Leary
Advanced Signal Processing: Algorithms, Architectures, and Implementations …, 1997
911997
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
852006
Generalized Arnoldi--Tikhonov method for sparse reconstruction
S Gazzola, JG Nagy
SIAM Journal on Scientific Computing 36 (2), B225-B247, 2014
772014
Steepest descent, CG, and iterative regularization of ill-posed problems
JG Nagy, KM Palmer
BIT Numerical Mathematics 43 (5), 1003-1017, 2003
742003
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