17 citations · 30 across the 12 of their papers we have counts for
6 papers · 1 filter
Guided Variational Network for Image Decomposition
Alessandro Lanza, Serena Morigi, Youwei Wen +1
Cartoon-texture image decomposition is a critical preprocessing problem bottlenecked by the numerical intractability of classical variational or optimization models and the tedious…
Whiteness-based parameter selection for Poisson data in variational image processing
Francesca Bevilacqua, Alessandro Lanza, Monica Pragliola +1
We propose a novel automatic parameter selection strategy for variational imaging problems under Poisson noise corruption. The selection of a suitable regularization parameter, who…
ADMM-based residual whiteness principle for automatic parameter selection in super-resolution problems
Monica Pragliola, Luca Calatroni, Alessandro Lanza +1
We propose an automatic parameter selection strategy for the problem of image super-resolution for images corrupted by blur and additive white Gaussian noise with unknown standard…
On and beyond Total Variation regularisation in imaging: the role of space variance
Monica Pragliola, Luca Calatroni, Alessandro Lanza +1
Over the last 30 years a plethora of variational regularisation models for image reconstruction has been proposed and thoroughly inspected by the applied mathematics community. Amo…
Residual whiteness principle for automatic parameter selection in - image super-resolution problems
Monica Pragliola, Luca Calatroni, Alessandro Lanza +1
We propose an automatic parameter selection strategy for variational image super-resolution of blurred and down-sampled images corrupted by additive white Gaussian noise (AWGN) wit…
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…