LANZA, ALESSANDRO
LANZA, ALESSANDRO
DIPARTIMENTO DI MATEMATICA
Docenti di ruolo di IIa fascia
A Convex-Nonconvex variational method for the additive decomposition of functions on surfaces
2019 Huska M., Lanza A., Morigi S., I. Selesnick
A flexible space-variant anisotropic regularisation for image restoration with automated parameter selection
2019 Luca Calatroni; Alessandro Lanza; Monica Pragliola; Fiorella Sgallari
A Generalized krylov Subspace Method for ℓp-ℓq Minimization
2015 Lanza, A.; Morigi, S.; Reichel, L.; Sgallari, F.
A Nonsmooth Nonconvex Sparsity-Promoting Variational Approach for Deblurring Images Corrupted by Impulse Noise
2016 Lanza A.; Morigi, S.; Sgallari, F.
A novel approach to change detection based on a coarse-to-fine strategy
2005 A. Bevilacqua; L. Di Stefano; A. Lanza; G. Capelli
A Simple Self-Calibration Method To Infer A Non-Parametric Model Of The Imaging System Noise
2005 A. Bevilacqua; L. Di Stefano; A. Lanza
A single-scan algorithm for connected components labelling in a traffic monitoring application
2003 Bevilacqua A.; Lanza A.; Baccarani G.; Rovatti R.
A Unified Framework for the Restoration of Images Corrupted by Additive White Noise
2017 Lanza, Alessandro; Sciacchitano, Federica; Morigi, Serena; Sgallari, Fiorella
A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components
2021 Huska, Martin; Kang, Sung H.; Lanza, Alessandro; Morigi, Serena
Accurate and efficient background subtraction by monotonic second-degree polynomial fitting
2010 A. Lanza; F. Tombari; L. Di Stefano
Adaptive parameter selection for weighted-TV image reconstruction problems
2020 Calatroni L.; Lanza A.; Pragliola M.; Sgallari F.
ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems
2022 Pragliola, M; Calatroni, L; Lanza, A; Sgallari, F
An Adaptive Strategy for the Restoration of Textured Images using Fractional Order Regularization
2013 R. H. Chan; A. Lanza; S. Morigi; F.Sgallari
An Effective Multi-Stage Background Generation Algorithm
2005 A. Bevilacqua; L. Di Stefano; A. Lanza
An Efficient Change Detection Algorithm Based on a Statistical Non-Parametric Camera Noise Model
2004 A. Bevilacqua; L. Di Stefano; A. Lanza
Automatic fidelity and regularization terms selection in variational image restoration
2022 Lanza A.; Pragliola M.; Sgallari F.
Automatic Parameter Selection Based on Residual Whiteness for Convex Non-convex Variational Restoration
2021 Lanza A.; Morigi S.; Sgallari F.
Background Subtraction by Non-parametric Probabilistic Clustering
2011 A. Lanza; Salti S.; Di Stefano L.
Bayesian Loop for Synergistic Change Detection and Tracking
2011 S. Salti; A. Lanza; L. Di Stefano
Bayesian Order-Consistency Testing with Class Priors Derivation for Robust Change Detection
2009 A. Lanza; L. Di Stefano; L. Soffritti
Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
---|---|---|---|---|---|---|
A Convex-Nonconvex variational method for the additive decomposition of functions on surfaces | Huska M., Lanza A., Morigi S., I. Selesnick | 2019-01-01 | INVERSE PROBLEMS | - | 1.01 Articolo in rivista | PAPER_ADD_SPLIT_22032019_revision_nored.pdf |
A flexible space-variant anisotropic regularisation for image restoration with automated parameter selection | Luca Calatroni; Alessandro Lanza; Monica Pragliola; Fiorella Sgallari | 2019-01-01 | SIAM JOURNAL ON IMAGING SCIENCES | - | 1.01 Articolo in rivista | 18m1227937.pdf |
A Generalized krylov Subspace Method for ℓp-ℓq Minimization | Lanza, A.; Morigi, S.; Reichel, L.; Sgallari, F. | 2015-01-01 | SIAM JOURNAL ON SCIENTIFIC COMPUTING | - | 1.01 Articolo in rivista | 140967982.pdf |
A Nonsmooth Nonconvex Sparsity-Promoting Variational Approach for Deblurring Images Corrupted by Impulse Noise | Lanza A.; Morigi, S.; Sgallari, F. | 2016-01-01 | - | CRC Press | 2.01 Capitolo / saggio in libro | - |
A novel approach to change detection based on a coarse-to-fine strategy | A. Bevilacqua; L. Di Stefano; A. Lanza; G. Capelli | 2005-01-01 | - | SoviSoft Oy Ltd | 4.01 Contributo in Atti di convegno | - |
A Simple Self-Calibration Method To Infer A Non-Parametric Model Of The Imaging System Noise | A. Bevilacqua; L. Di Stefano; A. Lanza | 2005-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | - |
A single-scan algorithm for connected components labelling in a traffic monitoring application | Bevilacqua A.; Lanza A.; Baccarani G.; Rovatti R. | 2003-01-01 | - | Springer Berlin Heidelberg | 4.01 Contributo in Atti di convegno | - |
A Unified Framework for the Restoration of Images Corrupted by Additive White Noise | Lanza, Alessandro; Sciacchitano, Federica; Morigi, Serena; Sgallari, Fiorella | 2017-01-01 | - | Springer International Publishing | 2.01 Capitolo / saggio in libro | - |
A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components | Huska, Martin; Kang, Sung H.; Lanza, Alessandro; Morigi, Serena | 2021-01-01 | SIAM JOURNAL ON IMAGING SCIENCES | - | 1.01 Articolo in rivista | SIIMS_final.pdf |
Accurate and efficient background subtraction by monotonic second-degree polynomial fitting | A. Lanza; F. Tombari; L. Di Stefano | 2010-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
Adaptive parameter selection for weighted-TV image reconstruction problems | Calatroni L.; Lanza A.; Pragliola M.; Sgallari F. | 2020-01-01 | JOURNAL OF PHYSICS. CONFERENCE SERIES | Institute of Physics Publishing | 4.01 Contributo in Atti di convegno | Calatroni_2020_J._Phys.__Conf._Ser._1476_012003.pdf |
ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems | Pragliola, M; Calatroni, L; Lanza, A; Sgallari, F | 2022-01-01 | JOURNAL OF MATHEMATICAL IMAGING AND VISION | - | 1.01 Articolo in rivista | s10851-022-01110-1.pdf |
An Adaptive Strategy for the Restoration of Textured Images using Fractional Order Regularization | R. H. Chan; A. Lanza; S. Morigi; F.Sgallari | 2013-01-01 | NUMERICAL MATHEMATICS | - | 1.01 Articolo in rivista | - |
An Effective Multi-Stage Background Generation Algorithm | A. Bevilacqua; L. Di Stefano; A. Lanza | 2005-01-01 | - | s.n | 4.01 Contributo in Atti di convegno | - |
An Efficient Change Detection Algorithm Based on a Statistical Non-Parametric Camera Noise Model | A. Bevilacqua; L. Di Stefano; A. Lanza | 2004-01-01 | - | s.n | 4.01 Contributo in Atti di convegno | - |
Automatic fidelity and regularization terms selection in variational image restoration | Lanza A.; Pragliola M.; Sgallari F. | 2022-01-01 | BIT | - | 1.01 Articolo in rivista | BIT_for_CRIS.pdf |
Automatic Parameter Selection Based on Residual Whiteness for Convex Non-convex Variational Restoration | Lanza A.; Morigi S.; Sgallari F. | 2021-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | - |
Background Subtraction by Non-parametric Probabilistic Clustering | A. Lanza; Salti S.; Di Stefano L. | 2011-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | - |
Bayesian Loop for Synergistic Change Detection and Tracking | S. Salti; A. Lanza; L. Di Stefano | 2011-01-01 | - | Springer Berlin Heidelberg | 2.01 Capitolo / saggio in libro | - |
Bayesian Order-Consistency Testing with Class Priors Derivation for Robust Change Detection | A. Lanza; L. Di Stefano; L. Soffritti | 2009-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | - |