A general framework for a class of non-linear approximations with applications to image restoration

DOI10.1016/j.cam.2017.03.008zbMath1377.49034OpenAlexW2597797308MaRDI QIDQ1676030

Pantaleón D. Romero, Antonio Falcó, Vicente F. Candela

Publication date: 3 November 2017

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10637/10709

zbMATH Keywords

nonlinear approximationimage restorationfractional deconvolutionweakly-closed nonconvex cone

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Numerical methods based on nonlinear programming (49M37) Approximation algorithms (68W25)

Related Items (1)

Mathematical modeling and computational methods

Cites Work

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• The analysis of linear partial differential operators. I: Distribution theory and Fourier analysis.
• On minimal subspaces in tensor representations
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• Direct Blind Deconvolution
• The APEX Method in Image Sharpening and the Use of Low Exponent Lévy Stable Laws
• Analysis of the Recovery of Edges in Images and Signals by Minimizing Nonconvex Regularized Least-Squares

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