A modified Newton projection method for \(\ell _1\)-regularized least squares image deblurring

DOI10.1007/s10851-014-0514-3zbMath1331.68270OpenAlexW2008678970MaRDI QIDQ2353428

Germana Landi

Publication date: 14 July 2015

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-014-0514-3

zbMATH Keywords

convex optimizationinverse problemsimage restorationNewton projection methods\(\ell _1\)-norm-based regularization

Mathematics Subject Classification ID

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

Related Items (2)

Generalization of hyperbolic smoothing approach for non-smooth and non-Lipschitz functions ⋮ A preconditioned conjugate gradient method with active set strategy for \(\ell_1\)-regularized least squares

Uses Software

• PDCO
• NESTA
• NPtool
• SPGL1
• TwIST

Cites Work

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