James G. Nagy

	2012
15		Ying-Wai (Daniel) Fan, James G. Nagy: An efficient computational approach for multiframe blind deconvolution. J. Computational Applied Mathematics 236(8): 2112-2125 (2012)
	2011
14		Johnathan M. Bardsley, Sarah Knepper, James G. Nagy: Structured linear algebra problems in adaptive optics imaging. Adv. Comput. Math. 35(2-4): 103-117 (2011)
13		Yangbo Ye, Robert J. Plemmons, James G. Nagy, Qinian Jin: Modern Mathematics in Biomedical Imaging. Int. J. Biomedical Imaging 2011: (2011)
	2010
12		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)
11		Julianne Chung, James G. Nagy, Ioannis Sechopoulos: Numerical Algorithms for Polyenergetic Digital Breast Tomosynthesis Reconstruction. SIAM J. Imaging Sciences 3(1): 133-152 (2010)
10		Julianne Chung, James G. Nagy: An Efficient Iterative Approach for Large-Scale Separable Nonlinear Inverse Problems. SIAM J. Scientific Computing 31(6): 4654-4674 (2010)
	2008
9		Piotr Wendykier, James G. Nagy: Large-Scale Image Deblurring in Java. ICCS (1) 2008: 721-730
8		Per Christian Hansen, James G. Nagy, Dianne P. Leary, Rodney Miller: Deblurring Images: Matrices, Spectra and Filtering. J. Electronic Imaging 17(1): 019901 (2008)
	2007
7		Martin Welk, James G. Nagy: Variational Deconvolution of Multi-channel Images with Inequality Constraints. IbPRIA (1) 2007: 386-393
	2006
6		James G. Nagy, Misha Elena Kilmer: Kronecker product approximation for preconditioning in three-dimensional imaging applications. IEEE Transactions on Image Processing 15(3): 604-613 (2006)
5		Johnathan M. Bardsley, James G. Nagy: Covariance-Preconditioned Iterative Methods for Nonnegatively Constrained Astronomical Imaging. SIAM J. Matrix Analysis Applications 27(4): 1184-1197 (2006)
	2004
4		James G. Nagy, Katrina Palmer, Lisa Perrone: Iterative Methods for Image Deblurring: A Matlab Object-Oriented Approach. Numerical Algorithms 36(1): 73-93 (2004)
	2003
3		James G. Nagy, Michael K. Ng, Lisa Perrone: Kronecker Product Approximations forImage Restoration with Reflexive Boundary Conditions. SIAM J. Matrix Analysis Applications 25(3): 829-841 (2003)
	1996
2		Julie Kamm, James G. Nagy: Least Squares and Total Least Squares Methods in Image Restoration. WNAA 1996: 212-219
1		James G. Nagy, Robert J. Plemmons, Todd C. Torgersen: Iterative image restoration using approximate inverse preconditioning. IEEE Transactions on Image Processing 5(7): 1151-1162 (1996)

Coauthor Index

1	Johnathan M. Bardsley (John Bardsley)	[5] [14]
2	Julianne Chung	[10] [11]
3	Ying-Wai (Daniel) Fan	[15]
4	Per Christian Hansen	[8]
5	Qinian Jin	[13]
6	Julie Kamm	[2]
7	Misha Elena Kilmer	[6]
8	Sarah Knepper	[14]
9	Dianne P. Leary	[8]
10	Rodney Miller	[8]
11	Michael K. Ng (Michael Kwok-Po Ng)	[3]
12	Katrina Palmer	[4]
13	Lisa Perrone	[3] [4]
14	Robert J. Plemmons	[1] [13]
15	Ioannis Sechopoulos	[11]
16	Todd C. Torgersen	[1]
17	Martin Welk	[7]
18	Piotr Wendykier	[9] [12]
19	Yangbo Ye	[13]

Colors in the list of coauthors

Last update Sun Jun 3 16:06:10 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page