Global optimal image reconstruction from blurred noisy data by a Bayesian approach

DOI10.1023/A:1019624913077zbMath1053.68112OpenAlexW1488283957MaRDI QIDQ1810924

Yanyan Li

Publication date: 9 June 2003

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1019624913077

zbMATH Keywords

Bayesian modelingglobal constrained optimizationImage analysiswavelet processing

Mathematics Subject Classification ID

Bayesian inference (62F15) Image analysis in multivariate analysis (62H35) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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Cites Work

• A variational method in image segmentation: Existence and approximation results
• Optimization over spaces of discontinuous 2D functions
• Convergence and compactness properties for a family of 2-D discontinuous signals
• Optimal approximations by piecewise smooth functions and associated variational problems
• Feature Article—Interior Point Methods for Linear Programming: Computational State of the Art
• Modeling for edge detection problems in blurred noisy images
• Failure detection and identification

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