Foto del docente

Alessandro Lanza

Associate Professor

Department of Mathematics

Academic discipline: MAT/08 Numerical Analysis

Publications

Coordination of a Research Project: Studio e sviluppo di metodologie innovative per la decodifica robusta ed efficiente di codici a barre.

Lanza, Alessandro; Morigi, Serena; Selesnick, Ivan W.; Sgallari, Fiorella, Convex Non-convex Variational Models, in: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision, Cham, Springer, 2023, pp. 3 - 59 [Chapter or essay]

Bevilacqua, Francesca; Lanza, Alessandro; Pragliola, Monica; Sgallari, Fiorella, Masked unbiased principles for parameter selection in variational image restoration under Poisson noise, «INVERSE PROBLEMS», 2023, 39, Article number: 034002 , pp. 1 - 32 [Scientific article]Open Access

Pragliola M.; Calatroni L.; Lanza A.; Sgallari F., On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance, «SIAM REVIEW», 2023, 65, pp. 601 - 685 [Scientific article]

Lanza, Alessandro; Pragliola, Monica; Sgallari, Fiorella, Parameter-free restoration of piecewise smooth images, «ELECTRONIC TRANSACTIONS ON NUMERICAL ANALYSIS», 2023, 59, pp. 202 - 229 [Scientific article]Open Access

Girometti L.; Huska M.; Lanza A.; Morigi S., Quaternary Image Decomposition with Cross-Correlation-Based Multi-parameter Selection, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, 2023, 14009, pp. 120 - 133 (atti di: 9th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2023, ita, 2023) [Contribution to conference proceedings]

Girometti L.; Lanza A.; Morigi S., Ternary image decomposition with automatic parameter selection via auto- and cross-correlation, «ADVANCES IN COMPUTATIONAL MATHEMATICS», 2023, 49, Article number: 1 , pp. 1 - 34 [Scientific article]Open Access

Bevilacqua F.; Lanza A.; Pragliola M.; Sgallari F., Whiteness-based parameter selection for Poisson data in variational image processing, «APPLIED MATHEMATICAL MODELLING», 2023, 117, pp. 197 - 218 [Scientific article]

Pragliola, M; Calatroni, L; Lanza, A; Sgallari, F, ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems, «JOURNAL OF MATHEMATICAL IMAGING AND VISION», 2022, 65, pp. 99 - 123 [Scientific article]Open Access

Lanza A.; Pragliola M.; Sgallari F., Automatic fidelity and regularization terms selection in variational image restoration, «BIT», 2022, 62, pp. 931 - 964 [Scientific article]Open Access

Bevilacqua F.; Lanza A.; Pragliola M.; Sgallari F., Nearly exact discrepancy principle for low-count poisson image restoration, «JOURNAL OF IMAGING», 2022, 8, Article number: 1 , pp. 1 - 35 [Scientific article]Open Access

Huska, Martin; Kang, Sung H.; Lanza, Alessandro; Morigi, Serena, A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components, «SIAM JOURNAL ON IMAGING SCIENCES», 2021, 14, pp. 1749 - 1789 [Scientific article]Open Access

Lanza A.; Morigi S.; Sgallari F., Automatic Parameter Selection Based on Residual Whiteness for Convex Non-convex Variational Restoration, in: Springer Proceedings in Mathematics and Statistics, Springer, 2021, 360, pp. 95 - 111 (atti di: International Workshop on Image Processing and Inverse Problems, IPIP 2018, Beijing, China, 2018) [Contribution to conference proceedings]

Salti, Samuele; Lanza, Alessandro; Di Stefano, Luigi, Keypoint detection by wave propagation, «JOURNAL OF ELECTRONIC IMAGING», 2021, 30, Article number: 013003 , pp. 1 - 20 [Scientific article]Open Access

Pragliola M.; Calatroni L.; Lanza A.; Sgallari F., Residual Whiteness Principle for Automatic Parameter Selection in ℓ2 - ℓ2 Image Super-Resolution Problems, in: Scale Space and Variational Methods in Computer Vision, Springer Science and Business Media Deutschland GmbH, 2021, 12679, pp. 476 - 488 (atti di: 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, Cabourg, France (online), 2021) [Contribution to conference proceedings]Open Access

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