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.

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]

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

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: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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]

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, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 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) [Contribution to conference proceedings]

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 [Scientific article]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 [Scientific article]

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 [Scientific article]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 [Scientific article]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 [Scientific article]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) [Chapter or essay]

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 [Scientific article]

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