Evolutionary Models for Signal Enhancement and Approximation

Bergerhoff, Leif

doi:10.22028/d291-34294

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Domain Decomposition1

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2023

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Cited by 2 publications

(2 citation statements)

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“…-Polygonal finite elements [20,53] -Stochastic hill climbing [52] -Optimal control approaches [19,37] -Particle swarm optimisation [12,13] Table 1: Taxonomy of Spatial Data Optimisation Algorithms…”

Section: Improvementmentioning

confidence: 99%

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Optimised Sparse Image Reconstruction Via Densification and Relocation

Kang,

Chizhov,

Augustin

2023

Preprint

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Section: Improvementmentioning

confidence: 99%

“…To improve the efficiency of descent estimations, we relax the requirement above (12) to a subdomain and approximate…”

Section: Domain Decompositionmentioning

confidence: 99%

Optimised Sparse Image Reconstruction Via Densification and Relocation

Kang,

Chizhov,

Augustin

2023

Preprint

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Optimised Sparse Image Reconstruction via Densification and Relocation

Kang,

Chizhov,

Augustin

2023

Preprint

View full text Add to dashboard Cite

We propose a novel data optimisation technique for sparse image reconstruction, which is useful for image compression and adaptive signal processing. Due to its nonconvexity, the optimisation problem for sparse image reconstruction is challenging. The proposed method relies on a simple-to-use framework applicable to numerous linear image reconstruction operators, such as splines and linear partial differential equation (PDE)-based inpainting. Our approach convincingly outperforms several established algorithms in terms of reconstruction quality and efficiency, thanks to a combinatorial optimisation for the initial guess and a continuous optimisation for further improvements. Moreover, we present a comparison among a set of highly competitive methods for image reconstruction. To our knowledge, this set of methods has not been thoroughly compared with optimised data previously. MSC: 65K10, 65D07, 90C59

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Evolutionary Models for Signal Enhancement and Approximation

Cited by 2 publications

References 0 publications

Optimised Sparse Image Reconstruction Via Densification and Relocation

Optimised Sparse Image Reconstruction Via Densification and Relocation

Optimised Sparse Image Reconstruction via Densification and Relocation

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