Mario Bertero
Mario Bertero
Professor in Information Science, University of Genova
Verified email at disi.unige.it - Homepage
TitleCited byYear
Introduction to inverse problems in imaging
M Bertero, P Boccacci
Taylor & Francis, 1998
22981998
Ill-posed problems in early vision
M Bertero, TA Poggio, V Torre
Proceedings of the IEEE 76 (8), 869-889, 1988
10181988
Linear inverse and III-posed problems
M Bertero
Advances in electronics and electron physics 75, 1-120, 1989
4031989
Linear inverse problems with discrete data. I. General formulation and singular system analysis
M Bertero, C De Mol, ER Pike
Inverse problems 1 (4), 301, 1985
3371985
Linear inverse problems with discrete data: II. Stability and regularisation
M Bertero, C De Mol, ER Pike
Inverse problems 4 (3), 573, 1988
2571988
Image deblurring with Poisson data: from cells to galaxies
M Bertero, P Boccacci, G Desiderà, G Vicidomini
Inverse Problems 25 (12), 123006, 2009
2262009
Resolution in diffraction-limited imaging, a singular value analysis II. The case of incoherent illumination
M Bertero, P Boccacci, ER Pike
Optica Acta 29, 1599-1611, 1982
169*1982
Resolution in diffraction-limited imaging, a singular value analysis I. The case of coherent illumination
M Bertero, ER Pike
Optica Acta 29, 727-746, 1982
169*1982
Projected Landweber method and preconditioning
M Piana, M Bertero
Inverse problems 13 (2), 441, 1997
1371997
Efficient gradient projection methods for edge-preserving removal of Poisson noise
R Zanella, P Boccacci, L Zanni, M Bertero
Inverse Problems 25 (4), 045010, 2009
1352009
The stability of inverse problems
M Bertero, C De Mol, GA Viano
Inverse scattering problems in optics, 161-214, 1980
1341980
On the recovery and resolution of exponential relaxation rates from experimental data: a singular-value analysis of the Laplace transform inversion in the presence of noise
M Bertero, P Boccacci, ER Pike
Proceedings of the Royal Society of London. A. Mathematical and Physical …, 1982
1311982
Regularization methods for linear inverse problems
M Bertero
Inverse Problems, 52-112, 1986
1261986
A discrepancy principle for Poisson data
M Bertero, P Boccacci, G Talenti, R Zanella, L Zanni
Inverse problems 26 (10), 105004, 2010
952010
III Super-resolution by data inversion
M Bertero, C De Mol
Progress in Optics 36, 129-178, 1996
901996
Image restoration in chirp-pulse microwave CT (CP-MCT)
M Bertero, M Miyakawa, P Boccacci, F Conte, K Orikasa, M Furutani
IEEE transactions on biomedical engineering 47 (5), 690-699, 2000
862000
Generalised information theory for inverse problems in signal processing
ER Pike, JG McWhirter, M Bertero, C de Mol
IEE Proceedings F (Communications, Radar and Signal Processing) 131 (6), 660-667, 1984
861984
Three‐dimensional image restoration and super‐resolution in fluorescence confocal microscopy
M Bertero, P Boccacci, GJ Brakenhoff, F Malfanti, HTM Van der Voort
Journal of microscopy 157 (1), 3-20, 1990
821990
The study of an iterative method for the reconstruction of images corrupted by Poisson and Gaussian noise
F Benvenuto, A La Camera, C Theys, A Ferrari, H Lantéri, M Bertero
Inverse Problems 24 (3), 035016, 2008
782008
Nonnegative least-squares image deblurring: improved gradient projection approaches
F Benvenuto, R Zanella, L Zanni, M Bertero
Inverse Problems 26 (2), 025004, 2009
772009
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