Quaternary Image Decomposition with Cross-Correlation-Based Multi-parameter Selection

Girometti, Laura; Huska, Martin; Lanza, Alessandro; Morigi, Serena

doi:10.1007/978-3-031-31975-4_10

Lecture Notes in Computer Science

2023

DOI: 10.1007/978-3-031-31975-4_10

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Quaternary Image Decomposition with Cross-Correlation-Based Multi-parameter Selection

Laura Girometti

Martin Huska

Alessandro Lanza

et al.

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2024

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Cited by 1 publication

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Convex Predictor–Nonconvex Corrector Optimization Strategy with Application to Signal Decomposition

Girometti,

Huska,

Lanza

et al. 2024

J Optim Theory Appl

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Many tasks in real life scenarios can be naturally formulated as nonconvex optimization problems. Unfortunately, to date, the iterative numerical methods to find even only the local minima of these nonconvex cost functions are extremely slow and strongly affected by the initialization chosen. We devise a predictor–corrector strategy that efficiently computes locally optimal solutions to these problems. An initialization-free convex minimization allows to predict a global good preliminary candidate, which is then corrected by solving a parameter-free nonconvex minimization. A simple algorithm, such as alternating direction method of multipliers works surprisingly well in producing good solutions. This strategy is applied to the challenging problem of decomposing a 1D signal into semantically distinct components mathematically identified by smooth, piecewise-constant, oscillatory structured and unstructured (noise) parts.

show abstract

Convex Predictor–Nonconvex Corrector Optimization Strategy with Application to Signal Decomposition

Girometti,

Huska,

Lanza

et al. 2024

J Optim Theory Appl

View full text Add to dashboard Cite

show abstract

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Quaternary Image Decomposition with Cross-Correlation-Based Multi-parameter Selection

Cited by 1 publication

References 16 publications

Convex Predictor–Nonconvex Corrector Optimization Strategy with Application to Signal Decomposition

Convex Predictor–Nonconvex Corrector Optimization Strategy with Application to Signal Decomposition

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