Foto del docente

Alessandro Lanza

Professore associato

Dipartimento di Matematica

Settore scientifico disciplinare: MAT/08 ANALISI NUMERICA

Pubblicazioni

Coordinamento del progetto: Studio e sviluppo di metodologie innovative per la decodifica robusta ed efficiente di codici a barre.

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 [articolo]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 [articolo]

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, «SPRINGER PROCEEDINGS IN MATHEMATICS & STATISTICS», 2021, 360, pp. 95 - 111 (atti di: International Workshop on Image Processing and Inverse Problems, IPIP 2018, Beijing, China, 2018) [Contributo in Atti di convegno]

Lanza A.; Pragliola M.; Sgallari F., Automatic fidelity and regularization terms selection in variational image restoration, «BIT», 2021, 62, pp. 1 - 34 [articolo]

Salti, Samuele; Lanza, Alessandro; Di Stefano, Luigi, Keypoint detection by wave propagation, «JOURNAL OF ELECTRONIC IMAGING», 2021, 30, Article number: 013003, pp. 1 - 20 [articolo]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: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 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) [Contributo in Atti di convegno]

Calatroni L.; Lanza A.; Pragliola M.; Sgallari F., Adaptive parameter selection for weighted-TV image reconstruction problems, in: Journal of Physics: Conference Series, Institute of Physics Publishing, 2020, 1476, pp. 1 - 10 (atti di: 9th International Conference on New Computational Methods for Inverse Problems, NCMIP 2019, Ecole normale superieure Paris-Saclay, France, 2019) [Contributo in Atti di convegno]

Selesnick I.; Lanza A.; Morigi S.; Sgallari F., Non-convex Total Variation Regularization for Convex Denoising of Signals, «JOURNAL OF MATHEMATICAL IMAGING AND VISION», 2020, 62, pp. 825 - 841 [articolo]Open Access

Lanza A.; Pragliola M.; Sgallari F., Residual whiteness principle for parameter-free image restoration, «ELECTRONIC TRANSACTIONS ON NUMERICAL ANALYSIS», 2020, 53, pp. 329 - 351 [articolo]

Huska M., Lanza A., Morigi S., I. Selesnick, A Convex-Nonconvex variational method for the additive decomposition of functions on surfaces, «INVERSE PROBLEMS», 2019, 35, Article number: 124008, pp. 1 - 33 [articolo]Open Access

Luca Calatroni; Alessandro Lanza; Monica Pragliola; Fiorella Sgallari, A flexible space-variant anisotropic regularisation for image restoration with automated parameter selection, «SIAM JOURNAL ON IMAGING SCIENCES», 2019, 12, pp. 1001 - 1037 [articolo]Open Access

Huska, Martin; Lanza, Alessandro; Morigi, Serena; Sgallari, Fiorella, Convex non-convex segmentation of scalar fields over arbitrary triangulated surfaces, «JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS», 2019, 349, pp. 438 - 451 [articolo]Open Access

Calatroni L.; Lanza A.; Pragliola M.; Sgallari F., Space-Adaptive Anisotropic Bivariate Laplacian Regularization for Image Restoration, in: Lecture Notes in Computational Vision and Biomechanics, Heidelberg, Springer Netherlands, 2019, pp. 67 - 76 (LECTURE NOTES IN COMPUTATIONAL VISION AND BIOMECHANICS) [capitolo di libro]

Lanza, A.; Morigi, S.; Pragliola, M.; Sgallari, F., Space-variant Generalised Gaussian Regularisation for Image Restoration, «COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING: IMAGING & VISUALIZATION», 2019, 7, pp. 490 - 503 [articolo]

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