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., A general framework for whiteness-based parameters selection in variational models, «COMPUTATIONAL OPTIMIZATION AND APPLICATIONS», 2024, ON LINE FIRST, pp. 1 - 33 [articolo]
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 [articolo]Open Access
Lanza, Alessandro; Morigi, Serena; Recupero, Giuseppe, Variational graph p-Laplacian eigendecomposition under p-orthogonality constraints, «COMPUTATIONAL OPTIMIZATION AND APPLICATIONS», 2024, X, pp. 1 - 39 [articolo]
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), «EUROPEAN SIGNAL PROCESSING CONFERENCE», 2024, pp. 1801 - 1805 (atti di: 32nd European Signal Processing Conference, EUSIPCO 2024, Lione, 26-30 Agosto 2024) [Contributo in Atti di convegno]
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 [capitolo di libro]
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 [articolo]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 [articolo]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 [articolo]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, «LECTURE NOTES IN COMPUTER SCIENCE», 2023, 14009, pp. 120 - 133 (atti di: 9th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2023, ita, 2023) [Contributo in Atti di convegno]
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 [articolo]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 [articolo]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», 2022, 65, pp. 99 - 123 [articolo]Open Access
Lanza A.; Pragliola M.; Sgallari F., Automatic fidelity and regularization terms selection in variational image restoration, «BIT», 2022, 62, pp. 931 - 964 [articolo]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 [articolo]Open Access
