James Nagy
James Nagy
Professor of Mathematics and Computer Science, Emory University
Verified email at - Homepage
Cited by
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Deblurring images: matrices, spectra, and filtering
PC Hansen, JG Nagy, DP O'leary
Society for Industrial and Applied Mathematics, 2006
Restoring images degraded by spatially variant blur
JG Nagy, DP O'Leary
SIAM Journal on Scientific Computing 19 (4), 1063-1082, 1998
Iterative methods for image deblurring: a Matlab object-oriented approach
JG Nagy, K Palmer, L Perrone
Numerical Algorithms 36, 73-93, 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
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
Preconditioned iterative regularization for ill-posed problems
M Hanke, J Nagy, R Plemmons
Institute for Mathematics and its Applications (USA), 1992
Enforcing nonnegativity in image reconstruction algorithms
JG Nagy, Z Strakos
Mathematical Modeling, Estimation, and Imaging 4121, 182-190, 2000
Iterative image restoration using approximate inverse preconditioning
JG Nagy, RJ Plemmons, TC Torgersen
IEEE Transactions on Image Processing 5 (7), 1151-1162, 1996
Restoration of atmospherically blurred images by symmetric indefinite conjugate gradient techniques
M Hanke, JG Nagy
Inverse problems 12 (2), 157, 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
Kronecker product and SVD approximations in image restoration
J Kamm, JG Nagy
Linear algebra and its applications 284 (1-3), 177-192, 1998
Numerical methods for coupled super-resolution
J Chung, E Haber, J Nagy
Inverse Problems 22 (4), 1261, 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
Optimal Kronecker product approximation of block Toeplitz matrices
J Kamm, JG Nagy
SIAM Journal on Matrix Analysis and Applications 22 (1), 155-172, 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
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
Fast iterative image restoration with a spatially varying PSF
JG Nagy, DP O'Leary
Advanced Signal Processing: Algorithms, Architectures, and Implementations …, 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
Generalized Arnoldi--Tikhonov method for sparse reconstruction
S Gazzola, JG Nagy
SIAM Journal on Scientific Computing 36 (2), B225-B247, 2014
Steepest descent, CG, and iterative regularization of ill-posed problems
JG Nagy, KM Palmer
BIT Numerical Mathematics 43 (5), 1003-1017, 2003
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