Franco Tomarelli
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Franco Tomarelli has a total of 25 co-authors. Here are the top co-authors by number of shared publications:
- Antonio Leaci
Dip. di Matematica e Fisica "Ennio De Giorgi", Università del Salento, Lecce, Italy
17 shared publications Danilo Percivale
Università di Genova
7 shared publications- Francesco Maddalena
Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Bari, Italy
7 shared publications - Danilo Percivale
Dipartimento di Ingegneria Meccanica, Energetica, Gestionale e dei Trasporti (DIME), Università degli Studi di Genova, Genova, Italy
6 shared publications Michele Carriero
6 shared publications- Michele Carriero
Dipartimento di Matematica e Fisica “E. de Giorgi”, Universitá del Salento, Lecce, Italy
4 shared publications
Latest Publications
- Open Access
- 1 January 2026
- Published by Banach Press LLC in Journal of Convex Analysis
- Vol. 33 (3&4) , 925-952
High Order Symmetrised Fractional Variation for Signal and Image Analysis
We introduce and study a variational model for signal and image denoising based on Riemann-Liouville fractional derivatives of every positive order higher than zero. Both the one-dimensional and two-dimensional cases are studied. The model exploits an L^1 L 1 fitting data term together with both right and left Riemann-Liouville fractional derivatives as regularizing terms, with the aim of achieving an orientation independent analysis. To provide evidence of effectiveness for the proposed model we introduce a discretisation based on a second-order consistent Grünwald Letnikov scheme and show some numerical simulations aiming to denoise images corrupted by impulsive noise, which can be well modeled by the Laplace distribution.
- 1 January 2026
- Published by Banach Press LLC in Journal of Convex Analysis
- Vol. 33 (3&4) , 925-952
Open AccessHigh Order Symmetrised Fractional Variation for Signal and Image Analysis
We introduce and study a variational model for signal and image denoising based on Riemann-Liouville fractional derivatives of every positive order higher than zero. Both the one-dimensional and two-dimensional cases are studied. The model exploits an L^1 L 1 fitting data term together with both right and left Riemann-Liouville fractional derivatives as regularizing terms, with the aim of achieving an orientation independent analysis. To provide evidence of effectiveness for the proposed model we introduce a discretisation based on a second-order consistent Grünwald Letnikov scheme and show some numerical simulations aiming to denoise images corrupted by impulsive noise, which can be well modeled by the Laplace distribution.
- Open Access
- 3 April 2025
- Published by Elsevier in Applied Mathematics and Computation
- Vol. 500
Symmetrised fractional variation with L1 fidelity for signal denoising via Grünwald-Letnikov scheme
- 3 April 2025
- Published by Elsevier in Applied Mathematics and Computation
- Vol. 500
Open AccessSymmetrised fractional variation with L1 fidelity for signal denoising via Grünwald-Letnikov scheme
- Open Access
- 1 January 2024
- Published by Banach Press LLC in Journal of Convex Analysis
- Vol. 31 (2) , 379-409
Almansi Decomposition and Expansion of a Polyharmonic Function Near a Crack-Tip
We study polyharmonic functions in 2-dimensional open sets with a flat crack: for these functions we show a decomposition of Almansi-type and make explicit the coefficients of a strongly converging expansion near the crack-tip.
- 1 January 2024
- Published by Banach Press LLC in Journal of Convex Analysis
- Vol. 31 (2) , 379-409
Open AccessAlmansi Decomposition and Expansion of a Polyharmonic Function Near a Crack-Tip
We study polyharmonic functions in 2-dimensional open sets with a flat crack: for these functions we show a decomposition of Almansi-type and make explicit the coefficients of a strongly converging expansion near the crack-tip.
- Open Access
- 7 March 2023
- Published by Springer Nature in Advances in Continuous and Discrete Models
- Vol. 2023 (1) , 1-17
Symmetrized fractional total variation for signal and image analysis
We introduce and study a variational model for signal and image analysis based on Riemann–Liouville fractional derivatives. Both the one-dimensional and two-dimensional cases are studied. The model exploits a quadratic fitting data term together with both right and left Riemann–Liouville fractional derivatives as regularizing terms, with the aim of achieving an orientation-independent analysis.
- 7 March 2023
- Published by Springer Nature in Advances in Continuous and Discrete Models
- Vol. 2023 (1) , 1-17
Open AccessSymmetrized fractional total variation for signal and image analysis
We introduce and study a variational model for signal and image analysis based on Riemann–Liouville fractional derivatives. Both the one-dimensional and two-dimensional cases are studied. The model exploits a quadratic fitting data term together with both right and left Riemann–Liouville fractional derivatives as regularizing terms, with the aim of achieving an orientation-independent analysis.
- Open Access
Riemann–Liouville Fractional Sobolev and Bounded Variation Spaces
We establish some properties of the bilateral Riemann–Liouville fractional derivative . We set the notation, and study the associated Sobolev spaces of fractional order s, denoted by , and the fractional bounded variation spaces of fractional order s, denoted by . Examples, embeddings and compactness properties related to these spaces are addressed, aiming to set a functional framework suitable for fractional variational models for image analysis.Open AccessRiemann–Liouville Fractional Sobolev and Bounded Variation Spaces
We establish some properties of the bilateral Riemann–Liouville fractional derivative . We set the notation, and study the associated Sobolev spaces of fractional order s, denoted by , and the fractional bounded variation spaces of fractional order s, denoted by . Examples, embeddings and compactness properties related to these spaces are addressed, aiming to set a functional framework suitable for fractional variational models for image analysis. - 20 June 2019
- Published by Springer Nature in Archive for Rational Mechanics and Analysis
- Vol. 234 (3) , 1091-1120
The Gap Between Linear Elasticity and the Variational Limit of Finite Elasticity in Pure Traction Problems
- 20 June 2019
- Published by Springer Nature in Archive for Rational Mechanics and Analysis
- Vol. 234 (3) , 1091-1120
The Gap Between Linear Elasticity and the Variational Limit of Finite Elasticity in Pure Traction Problems
- 17 May 2019
- Published by Springer Nature in Journal of Optimization Theory and Applications
- Vol. 182 (1) , 383-403
A New Variational Approach to Linearization of Traction Problems in Elasticity
- 17 May 2019
- Published by Springer Nature in Journal of Optimization Theory and Applications
- Vol. 182 (1) , 383-403
A New Variational Approach to Linearization of Traction Problems in Elasticity
- Open Access
The gap in Pure Traction Problems between Linear Elasticity and Variational Limit of Finite Elasticity
A limit elastic energy for pure traction problem is derived from re-scaled nonlinear energy of an hyperelastic material body subject to an equilibrated force field. We show that the strains of minimizing sequences associated to re-scaled non linear energies weakly converge, up to subsequences, to the strains of minimizers of a limit energy, provided an additional compatibility condition is fulfilled by the force field. The limit energy is different from classical energy of linear elasticity; nevertheless the compatibility condition entails the coincidence of related minima and minimizers. A strong violation of this condition provides a limit energy which is unbounded from below, while a mild violation may produce a limit energy with infinitely many extra minimizers which are not minimizers of standard linear elastic energy and whose strains are not uniformly bounded. A relevant consequence of this analysis is that a rigorous validation of linear elasticity fails for compressive force fields that do not fulfil such compatibility condition.
Open AccessThe gap in Pure Traction Problems between Linear Elasticity and Variational Limit of Finite Elasticity
A limit elastic energy for pure traction problem is derived from re-scaled nonlinear energy of an hyperelastic material body subject to an equilibrated force field. We show that the strains of minimizing sequences associated to re-scaled non linear energies weakly converge, up to subsequences, to the strains of minimizers of a limit energy, provided an additional compatibility condition is fulfilled by the force field. The limit energy is different from classical energy of linear elasticity; nevertheless the compatibility condition entails the coincidence of related minima and minimizers. A strong violation of this condition provides a limit energy which is unbounded from below, while a mild violation may produce a limit energy with infinitely many extra minimizers which are not minimizers of standard linear elastic energy and whose strains are not uniformly bounded. A relevant consequence of this analysis is that a rigorous validation of linear elasticity fails for compressive force fields that do not fulfil such compatibility condition.
- Open Access
A new variational approach to linearization of traction problems in elasticity
A new energy functional for pure traction problems in elasticity has been deduced in [23] as the variational limit of nonlinear elastic energy functional for a material body subject to an equilibrated force field: a sort of Gamma limit with respect to the weak convergence of strains when a suitable small parameter tends to zero. This functional exhibits a gap that makes it different from the classical linear elasticity functional. Nevertheless a suitable compatibility condition on the force field ensures coincidence of related minima and minimizers. Here we show some relevant properties of the new functional and prove stronger convergence of minimizing sequences for suitable choices of nonlinear elastic energies.
Open AccessA new variational approach to linearization of traction problems in elasticity
A new energy functional for pure traction problems in elasticity has been deduced in [23] as the variational limit of nonlinear elastic energy functional for a material body subject to an equilibrated force field: a sort of Gamma limit with respect to the weak convergence of strains when a suitable small parameter tends to zero. This functional exhibits a gap that makes it different from the classical linear elasticity functional. Nevertheless a suitable compatibility condition on the force field ensures coincidence of related minima and minimizers. Here we show some relevant properties of the new functional and prove stronger convergence of minimizing sequences for suitable choices of nonlinear elastic energies.
- Open Access
- 1 January 2018
- Published by Banach Press LLC in Journal of Convex Analysis
- Vol. 25 (2) , 435-458
Segmentation and Inpainting of Color Images
We introduce and study a variational model for segmentation and inpainting of 2-dimensional color images. The model consists in the minimization of a functional dependent on second derivatives, free discontinuity and free gradient discontinuity. The competitors are piecewise C^2 C 2 vector-valued functions, whose components represent the intensity of RGB channels.
- 1 January 2018
- Published by Banach Press LLC in Journal of Convex Analysis
- Vol. 25 (2) , 435-458
Open AccessSegmentation and Inpainting of Color Images
We introduce and study a variational model for segmentation and inpainting of 2-dimensional color images. The model consists in the minimization of a functional dependent on second derivatives, free discontinuity and free gradient discontinuity. The competitors are piecewise C^2 C 2 vector-valued functions, whose components represent the intensity of RGB channels.