Processing MUSE hyperspectral data: denoising, deconvolution and detection of astrophysical sources

zbMath1248.85007MaRDI QIDQ713913

David Mary, Éric Slezak, Sébastien Bourguignon

Publication date: 19 October 2012

Published in: Statistical Methodology (Search for Journal in Brave)

zbMATH Keywords

deconvolutiondetectionnoise reductionhyperspectral imaging datasparse decompositions

Mathematics Subject Classification ID

Applications of statistics to physics (62P35) Detection theory in information and communication theory (94A13) Numerical methods for inverse problems for integral equations (65R32) Statistical astronomy (85A35)

Uses Software

• PDCO

Cites Work

• Unnamed Item
• On Sparse Representations in Arbitrary Redundant Bases
• Atomic Decomposition by Basis Pursuit
• Ideal spatial adaptation by wavelet shrinkage
• Uncertainty principles and ideal atomic decomposition
• Regularized estimation of mixed spectra using a circular Gibbs-Markov model
• Sparse Image and Signal Processing
• Convergence of a block coordinate descent method for nondifferentiable minimization

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