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20192025
most citedAdaptive parameter selection for weighted-TV image reconstruction problems

17 citations · 34 across the 12 of their papers we have counts for

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5 papers · 1 filter

eess.IV2019

Space-adaptive anisotropic bivariate Laplacian regularization for image restoration

Luca Calatroni, Alessandro Lanza, Monica Pragliola +1

In this paper we present a new regularization term for variational image restoration which can be regarded as a space-variant anisotropic extension of the classical isotropic Total…

eess.IV2019★ 4 cited

Space-variant Generalized Gaussian Regularization for Image Restoration

Alessandro Lanza, Serena Morigi, Monica Pragliola +1

We propose a new space-variant regularization term for variational image restoration based on the assumption that the gradient magnitudes of the target image distribute locally acc…

eess.IV2019★ 5 cited

Space-variant TV regularization for image restoration

Alessandro Lanza, Serena Morigi, Monica Pragliola +1

We propose two new variational models aimed to outperform the popular total variation (TV) model for image restoration with L and L fidelity terms. In particular, we introd…

math.OC2019★ 17 cited

Adaptive parameter selection for weighted-TV image reconstruction problems

Luca Calatroni, Alessandro Lanza, Monica Pragliola +1

We propose an efficient estimation technique for the automatic selection of locally-adaptive Total Variation regularisation parameters based on an hybrid strategy which combines a…

math.NA2019★ 1 cited

A flexible space-variant anisotropic regularisation for image restoration with automated parameter selection

Luca Calatroni, Alessandro Lanza, Monica Pragliola +1

We propose a new space-variant anisotropic regularisation term for variational image restoration, based on the statistical assumption that the gradients of the target image distrib…