Joint Gaussian dictionary learning and tomographic reconstruction

DOI10.1088/1361-6420/AC8BEEzbMath1497.94014OpenAlexW4292811321WikidataQ114096853 ScholiaQ114096853MaRDI QIDQ5867688

Ozan Öktem, Gustav Zickert, Can Evren Yarman

Publication date: 14 September 2022

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

Full work available at URL: https://doi.org/10.1088/1361-6420/ac8bee

zbMATH Keywords

inverse problemregularizationimage reconstructiontomographydictionary learningsparse codingtask adapted reconstruction

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• DLMF
• LBFGS-B
• ODL

Cites Work

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• The Little Engine that Could: Regularization by Denoising (RED)
• Universal series induced by approximate identities and some relevant applications
• NIST digital library of mathematical functions
• The Mathematics of Computerized Tomography
• Mathematics of Electron Tomography
• Local Tomography in Electron Microscopy
• Sparse and Redundant Representations
• Tomographic reconstructions from incomplete data-numerical inversion of the exterior Radon transform
• Separable nonlinear least squares: the variable projection method and its applications
• Perturbed Orthogonal Matching Pursuit
• A Limited Memory Algorithm for Bound Constrained Optimization
• Matching pursuits with time-frequency dictionaries
• Sparsity regularization in inverse problems
• Task adapted reconstruction for inverse problems
• Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data
• Sketching for large-scale learning of mixture models
• Generalization of Padé approximation from rational functions to arbitrary analytic functions — Theory
• The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate

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