5 citations · 16 across the 8 of their papers we have counts for
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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…
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…