James G. Nagy

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 28

Top Topics

Image Restoration

Blind Deconvolution

Inverse Problems

Top Venues

Numer. Algorithms

Numer. Linear Algebra Appl.

SIAM J. Sci. Comput.

Publications

Ariana N. Brown, Malena Sabaté Landman, James G. Nagy
H-CMRH: a novel inner product free hybrid Krylov method for large-scale inverse problems. CoRR (2024)
Davide Evangelista, Elena Morotti, Elena Loli Piccolomini, James G. Nagy
Ambiguity in solving imaging inverse problems with deep learning based operators. CoRR (2023)
Chang Meng, James G. Nagy
Numerical methods for CT reconstruction with unknown geometry parameters. Numer. Algorithms 92 (1) (2023)
Davide Evangelista, Elena Morotti, Elena Loli Piccolomini, James G. Nagy
Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators. J. Imaging 9 (7) (2023)
Davide Evangelista, James G. Nagy, Elena Morotti, Elena Loli Piccolomini
To be or not to be stable, that is the question: understanding neural networks for inverse problems. CoRR (2022)
Difeng Cai, James G. Nagy, Yuanzhe Xi
Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets. SIAM J. Matrix Anal. Appl. 43 (2) (2022)
Difeng Cai, James G. Nagy, Yuanzhe Xi
Fast and stable deterministic approximation of general symmetric kernel matrices in high dimensions. CoRR (2021)
Chao Wang, Min Tao, Chen-Nee Chuah, James G. Nagy, Yifei Lou
Minimizing L1 over L2 norms on the gradient. CoRR (2021)
Chao Wang, Min Tao, James G. Nagy, Yifei Lou
Minimization. SIAM J. Imaging Sci. 14 (2) (2021)
Silvia Gazzola, James G. Nagy, Malena Sabate Landman
Iteratively Reweighted FGMRES and FLSQR for Sparse Reconstruction. SIAM J. Sci. Comput. 43 (5) (2021)
Xiaotong Chen, James L. Herring, James G. Nagy, Yuanzhe Xi, Bo Yu
An ADMM-LAP method for total variation blind deconvolution of adaptive optics retinal images. CoRR (2020)
Kelvin K. Kan, James G. Nagy, Lars Ruthotto
Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization. CoRR (2020)
Silvia Gazzola, Chang Meng, James G. Nagy
Krylov Methods for Low-Rank Regularization. SIAM J. Matrix Anal. Appl. 41 (4) (2020)
James L. Herring, James G. Nagy, Lars Ruthotto
Gauss-Newton Optimization for Phase Recovery From the Bispectrum. IEEE Trans. Computational Imaging 6 (2020)
Zixuan Chen, James G. Nagy, Yuanzhe Xi, Bo Yu
Structured FISTA for image restoration. Numer. Linear Algebra Appl. 27 (2) (2020)
Chao Wang, Min Tao, James G. Nagy, Yifei Lou
Limited-angle CT reconstruction via the L1/L2 minimization. CoRR (2020)
Blair J. Rossetti, Steven A. Wilbert, Jessica L. Mark Welch, Gary G. Borisy, James G. Nagy
Semi-blind sparse affine spectral unmixing of autofluorescence-contaminated micrographs. Bioinform. 36 (3) (2020)
Silvia Gazzola, Misha E. Kilmer, James G. Nagy, Oguz Semerci, Eric L. Miller
An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction. CoRR (2019)
Silvia Gazzola, Chang Meng, James G. Nagy
Krylov Methods for Low-Rank Regularization. CoRR (2019)
Yunyi Hu, Martin S. Andersen, James G. Nagy
Spectral Computed Tomography with Linearization and Preconditioning. SIAM J. Sci. Comput. 41 (5) (2019)
Silvia Gazzola, Per Christian Hansen, James G. Nagy
IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems. Numer. Algorithms 81 (3) (2019)
Koen Michielsen, Christian Fedon, James G. Nagy, Ioannis Sechopoulos
Dose reduction in breast CT by spectrum switching. IWBI (2018)
Marie Kubínová, James G. Nagy
Robust regression for mixed Poisson-Gaussian model. Numer. Algorithms 79 (3) (2018)
Jianjun Zhang, James G. Nagy
An alternating direction method of multipliers for the solution of matrix equations arising in inverse problems. Numer. Linear Algebra Appl. 25 (4) (2018)
Clarissa C. Garvey, Chang Meng, James G. Nagy
Singular Value Decomposition Approximation via Kronecker Summations for Imaging Applications. SIAM J. Matrix Anal. Appl. 39 (4) (2018)
Huamei Chen, John M. Irvine, Zhonghai Wang, Genshe Chen, Erik Blasch, James G. Nagy
Predicting Interpretability Loss in Thermal IR Imagery due to Compression. AIPR (2018)
James L. Herring, James G. Nagy, Lars Ruthotto
LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables. CoRR (2017)
Marcin Malec, Tushar Khot, James G. Nagy, Erik Blask, Sriraam Natarajan
Inductive Logic Programming Meets Relational Databases: Efficient Learning of Markov Logic Networks. ILP (2016)
James G. Nagy, Michael K. Ng
Dedication to Robert J. Plemmons. Numer. Linear Algebra Appl. 22 (5) (2015)
Sebastian Berisha, James G. Nagy, Robert J. Plemmons
Deblurring and Sparse Unmixing of Hyperspectral Images Using Multiple Point Spread Functions. SIAM J. Sci. Comput. 37 (5) (2015)
Sebastian Berisha, James G. Nagy, Robert J. Plemmons
Estimation of atmospheric PSF parameters for hyperspectral imaging. Numer. Linear Algebra Appl. 22 (5) (2015)
Erik Blasch, Haibin Ling, Dan Shen, Genshe Chen, Riad I. Hammoud, Arslan Basharat, Roddy Collins, Alex Aved, James G. Nagy
Video-to-text information fusion evaluation for level 5 user refinement. FUSION (2015)
Anastasia Cornelio, Elena Loli Piccolomini, James G. Nagy
Constrained numerical optimization methods for blind deconvolution. Numer. Algorithms 65 (1) (2014)
Erik Blasch, James G. Nagy, Alex Aved, Eric K. Jones, William M. Pottenger, Arslan Basharat, Anthony Hoogs, Michael Schneider, Riad I. Hammoud, Genshe Chen, Dan Shen, Haibin Ling
Context aided video-to-text information fusion. FUSION (2014)
Silvia Gazzola, James G. Nagy
Generalized Arnoldi-Tikhonov Method for Sparse Reconstruction. SIAM J. Sci. Comput. 36 (2) (2014)
Qing Chu, Stuart Jefferies, James G. Nagy
Iterative Wavefront Reconstruction for Astronomical Imaging. SIAM J. Sci. Comput. 35 (5) (2013)
Veronica Mejia Bustamante, James G. Nagy, Steve S. J. Feng, Ioannis Sechopoulos
Iterative Breast Tomosynthesis Image Reconstruction. SIAM J. Sci. Comput. 35 (5) (2013)
Ying-Wai (Daniel) Fan, James G. Nagy
An efficient computational approach for multiframe blind deconvolution. J. Comput. Appl. Math. 236 (8) (2012)
Yangbo Ye, Robert J. Plemmons, James G. Nagy, Qinian Jin
Modern Mathematics in Biomedical Imaging. Int. J. Biomed. Imaging 2011 (2011)
Johnathan M. Bardsley, Sarah Knepper, James G. Nagy
Structured linear algebra problems in adaptive optics imaging. Adv. Comput. Math. 35 (2-4) (2011)
Julianne Chung, James G. Nagy, Ioannis Sechopoulos
Numerical Algorithms for Polyenergetic Digital Breast Tomosynthesis Reconstruction. SIAM J. Imaging Sci. 3 (1) (2010)
Piotr Wendykier, James G. Nagy
Parallel Colt: A High-Performance Java Library for Scientific Computing and Image Processing. ACM Trans. Math. Softw. 37 (3) (2010)
Julianne Chung, James G. Nagy
An Efficient Iterative Approach for Large-Scale Separable Nonlinear Inverse Problems. SIAM J. Sci. Comput. 31 (6) (2010)
Per Christian Hansen, James G. Nagy, Dianne P. O'Leary, Rodney Miller
. J. Electronic Imaging 17 (1) (2008)
Piotr Wendykier, James G. Nagy
Large-Scale Image Deblurring in Java. ICCS (1) (2008)
Martin Welk, James G. Nagy
Variational Deconvolution of Multi-channel Images with Inequality Constraints. IbPRIA (1) (2007)
Misha Elena Kilmer, James G. Nagy
Kronecker product approximations for dense block Toeplitz-plus-Hankel matrices. Numer. Linear Algebra Appl. 14 (8) (2007)
James G. Nagy, Misha Elena Kilmer
Kronecker product approximation for preconditioning in three-dimensional imaging applications. IEEE Trans. Image Process. 15 (3) (2006)
Johnathan M. Bardsley, James G. Nagy
Covariance-Preconditioned Iterative Methods for Nonnegatively Constrained Astronomical Imaging. SIAM J. Matrix Anal. Appl. 27 (4) (2006)
James G. Nagy, Katrina Palmer, Lisa Perrone
Iterative Methods for Image Deblurring: A Matlab Object-Oriented Approach. Numer. Algorithms 36 (1) (2004)
James G. Nagy, Dianne P. O'Leary
Partial solution to "Image deblurring: I can see clearly now". Comput. Sci. Eng. 5 (4) (2003)
James G. Nagy, Michael K. Ng, Lisa Perrone
Kronecker Product Approximations forImage Restoration with Reflexive Boundary Conditions. SIAM J. Matrix Anal. Appl. 25 (3) (2003)
James G. Nagy, Dianne P. O'Leary
Image deblurring: I can see clearly now. Comput. Sci. Eng. 5 (3) (2003)
Dianne P. O'Leary, Yalin Evren Sagduyu, James G. Nagy
Robot control: swinging like a pendulum. Comput. Sci. Eng. 5 (4) (2003)
Julie Kamm, James G. Nagy
Optimal Kronecker Product Approximation of Block Toeplitz Matrices. SIAM J. Matrix Anal. Appl. 22 (1) (2000)
James G. Nagy, Dianne P. O'Leary
Restoring Images Degraded by Spatially Variant Blur. SIAM J. Sci. Comput. 19 (4) (1998)
James G. Nagy, Robert J. Plemmons, Todd C. Torgersen
Iterative image restoration using approximate inverse preconditioning. IEEE Trans. Image Process. 5 (7) (1996)
Julie Kamm, James G. Nagy
Least Squares and Total Least Squares Methods in Image Restoration. WNAA (1996)
Martin Hanke, James G. Nagy
Toeplitz approximate inverse preconditioner for banded Toeplitz matrices. Numer. Algorithms 7 (2) (1994)
Raymond H. Chan, James G. Nagy, Robert J. Plemmons
Circulant Preconditioned Toeplitz Least Squares Iterations. SIAM J. Matrix Anal. Appl. 15 (1) (1994)
James G. Nagy
Fast Inverse QR Factorization for Toeplitz Matrices. SIAM J. Sci. Comput. 14 (5) (1993)