A projected Newton-CG method for nonnegative astronomical image deblurring

DOI10.1007/s11075-008-9198-3zbMath1151.65053OpenAlexW2090923100MaRDI QIDQ937181

Elena Loli Piccolomini, Germana Landi

Publication date: 20 August 2008

Published in: Numerical Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11075-008-9198-3

zbMATH Keywords

regularizationnumerical examplesconjugate gradient methodill-posed problemimage deblurringprojected Newton methodnonnegative minimization

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Convex programming (90C25) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Computational methods for problems pertaining to astronomy and astrophysics (85-08) General questions in astronomy and astrophysics (85A04)

Related Items (8)

A stopping criterion for iterative regularization methods ⋮ Constrained numerical optimization methods for blind deconvolution ⋮ An improved Newton projection method for nonnegative deblurring of Poisson-corrupted images with Tikhonov regularization ⋮ NPtool: a MATLAB software for nonnegative image restoration with Newton projection methods ⋮ Scaled projected-directions methods with application to transmission tomography ⋮ Quasi-Newton projection methods and the discrepancy principle in image restoration ⋮ PNKH-B: A Projected Newton--Krylov Method for Large-Scale Bound-Constrained Optimization ⋮ Scaling techniques for gradient projection-type methods in astronomical image deblurring

Cites Work

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• On the Solution of Large Quadratic Programming Problems with Bound Constraints
• Numerical Optimization
• A Nonnegatively Constrained Convex Programming Method for Image Reconstruction
• Projected Newton Methods for Optimization Problems with Simple Constraints

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