17 citations · 30 across the 12 of their papers we have counts for
13 papers
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…
Additive decomposition of one-dimensional signals using Transformers
Samuele Salti, Andrea Pinto, Alessandro Lanza +1
One-dimensional signal decomposition is a well-established and widely used technique across various scientific fields. It serves as a highly valuable pre-processing step for data a…
Whiteness-based bilevel estimation of weighted TV parameter maps for image denoising
Monica Pragliola, Luca Calatroni, Alessandro Lanza
We consider a bilevel optimisation strategy based on normalised residual whiteness loss for estimating the weighted total variation parameter maps for denoising images corrupted by…
Whiteness-based bilevel learning of regularization parameters in imaging
Carlo Santambrogio, Monica Pragliola, Alessandro Lanza +2
We consider an unsupervised bilevel optimization strategy for learning regularization parameters in the context of imaging inverse problems in the presence of additive white Gaussi…
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…