Foto del docente

Laura Girometti

PhD Student

Department of Mathematics

Teaching tutor

Department of Industrial Engineering

Department of Civil, Chemical, Environmental, and Materials Engineering

Academic discipline: MAT/08 Numerical Analysis

Publications

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]

Girometti, Laura; Aujol, Jean-François; Guennec, Antoine; Traonmilin, Yann, Parameter-Free Structure-Texture Image Decomposition by Unrolling, in: Lecture Notes in Computer Science, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Springer Science and Business Media Deutschland GmbH, 2025, 15667, pp. 387 - 399 (atti di: 10th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2025, gbr, 2025) [Contribution to conference proceedings]

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

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

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