Coordination of a Research Project: Studio e sviluppo di metodologie innovative per la decodifica robusta ed efficiente di codici a barre.
Girometti, Laura; Lanza, Alessandro; Morigi, Serena, Fractional Derivative Variational Model for Additive Signal Decomposition, in: Scale Space and Variational Methods in Computer Vision. SSVM 2025, Springer Science and Business Media Deutschland GmbH, 2025, 15668, pp. 136 - 149 (atti di: 10th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2025, Dartington, UK, May 18–22, 2025) [Contribution to conference proceedings]
Lanza, A.; Leaci, A.; Morigi, S.; Tomarelli, F., Symmetrised fractional variation with L1 fidelity for signal denoising via Grünwald-Letnikov scheme, «APPLIED MATHEMATICS AND COMPUTATION», 2025, 500, Article number: 129429 , pp. 1 - 24 [Scientific article]Open Access
Lanza, Alessandro; Morigi, Serena; Recupero, Giuseppe, Variational graph p-Laplacian eigendecomposition under p-orthogonality constraints, «COMPUTATIONAL OPTIMIZATION AND APPLICATIONS», 2025, 91, pp. 787 - 825 [Scientific article]
Pragliola, Monica; Calatroni, Luca; Lanza, Alessandro, Whiteness-Based Bilevel Estimation of Weighted TV Parameter Maps for Image Denoising, in: Scale Space and Variational Methods in Computer Vision. SSVM 2025, Springer Science and Business Media Deutschland GmbH, 2025, 15667, pp. 159 - 172 (atti di: 10th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2025, Dartington, UK, May 18–22, 2025) [Contribution to conference proceedings]
Bevilacqua, F.; Lanza, A.; Pragliola, M.; Sgallari, F., A general framework for whiteness-based parameters selection in variational models, «COMPUTATIONAL OPTIMIZATION AND APPLICATIONS», 2024, ON LINE FIRST, pp. 1 - 33 [Scientific article]
Girometti L.; Huska M.; Lanza A.; Morigi S., Convex Predictor–Nonconvex Corrector Optimization Strategy with Application to Signal Decomposition, «JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS», 2024, 202, pp. 1286 - 1325 [Scientific article]Open Access
Santambrogio, C.; Pragliola, M.; Lanza, A.; Donatelli, M.; Calatroni, L., Whiteness-based bilevel learning of regularization parameters in imaging, in: Proceedings of the 32nd European Signal Processing Conference (EUSIPCO 2024), 2024, pp. 1801 - 1805 (atti di: 32nd European Signal Processing Conference, EUSIPCO 2024, Lione, 26-30 Agosto 2024) [Contribution to conference proceedings]Open Access
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», 2023, 65, pp. 99 - 123 [Scientific article]Open Access
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]Open Access
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
