Recursive reconstruction of piecewise constant signals by minimization of an energy function

DOI10.3934/ipi.2018038zbMath1395.94086OpenAlexW2809480246MaRDI QIDQ1673859

Abdelkader Fassi Fihri, Mohammed Douimi, Anass Belcaid

Publication date: 14 September 2018

Published in: Inverse Problems and Imaging (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/ipi.2018038

zbMATH Keywords

energy minimizationMarkov random fieldspiecewise constant signalDPS algorithm

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Random fields (60G60) Numerical mathematical programming methods (65K05) Discrete-time Markov processes on general state spaces (60J05) Numerical optimization and variational techniques (65K10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Constrained energy variation for change point detection

Uses Software

• condat_tv

Cites Work

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• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Comparison of the efficiency of deterministic and stochastic algorithms for visual reconstruction
• The $L^1$-Potts Functional for Robust Jump-Sparse Reconstruction

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