Foto del docente

Alessandro Lanza

Associate Professor

Department of Mathematics

Academic discipline: MAT/08 Numerical Analysis

Publications

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, 24 May 2019) [Contribution to conference proceedings]Open Access

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]Open Access

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]

A. Lanza, S. Morigi, I. W. Selesnick, F. Sgallari, Sparsity-inducing Nonconvex Nonseparable Regularization for Convex Image Processing, «SIAM JOURNAL ON IMAGING SCIENCES», 2019, 12, pp. 1099 - 1134 [Scientific article]Open Access

Raymond Chan; Alessandro Lanza; Serena Morigi; Fiorella Sgallari, Convex non-convex image segmentation, «NUMERISCHE MATHEMATIK», 2018, 138, pp. 635 - 680 [Scientific article]

Lanza, Alessandro; Morigi, Serena; Pragliola, Monica; Sgallari, Fiorella, Space-Variant TV Regularization for Image Restoration, in: Lecture Notes in Computational Vision and Biomechanics, Cham, Springer International Publishing, 2018, pp. 160 - 169 (LECTURE NOTES IN COMPUTATIONAL VISION AND BIOMECHANICS) [Chapter or essay]

Alessandro Lanza, Serena Morigi, Federica Sciacchitano, Fiorella Sgallari, Whiteness Constraints in a Unified Variational Framework for Image Restoration, «JOURNAL OF MATHEMATICAL IMAGING AND VISION», 2018, 60, pp. 1503 - 1526 [Scientific article]Open Access

Lanza, Alessandro; Sciacchitano, Federica; Morigi, Serena; Sgallari, Fiorella, A Unified Framework for the Restoration of Images Corrupted by Additive White Noise, in: Scale Space and Variational Methods in Computer Vision, Cham, Springer International Publishing, 2017, pp. 498 - 510 (LECTURE NOTES IN COMPUTER SCIENCE) [Chapter or essay]

Huska, Martin; Lanza, Alessandro; Morigi, Serena; Sgallari, Fiorella, Convex Non-Convex Segmentation over Surfaces, in: Scale Space and Variational Methods in Computer Vision, Cham, Springer International Publishing, 2017, pp. 348 - 360 (LECTURE NOTES IN COMPUTER SCIENCE) [Chapter or essay]

Huang, G.; Lanza, A.; Morigi, S.; Reichel, L.; Sgallari, F., Majorization–minimization generalized Krylov subspace methods for ℓp – ℓq optimization applied to image restoration, «BIT», 2017, 57, pp. 351 - 378 [Scientific article]

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