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A new nonstationary preconditioned iterative method for linear discrete ill-posed problems with application to image deblurring.

, , , and . Numer. Linear Algebra Appl., (2021)

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A new nonstationary preconditioned iterative method for linear discrete ill-posed problems with application to image deblurring., , , and . Numer. Linear Algebra Appl., (2021)Comparison of A-posteriori parameter choice rules for linear discrete ill-posed problems., , and . J. Comput. Appl. Math., (2020)Restoration of Blurred Images Corrupted by Impulse Noise via Median Filters and ℓp-ℓq Minimization., , and . ICCSA (Workshops), page 112-122. IEEE, (2021)An ℓ2-ℓq Regularization Method for Large Discrete Ill-Posed Problems., and . J. Sci. Comput., 78 (3): 1526-1549 (2019)Numerical aspects of the nonstationary modified linearized Bregman algorithm., , and . Appl. Math. Comput., (2018)Linearized Krylov subspace Bregman iteration with nonnegativity constraint., , and . Numer. Algorithms, 87 (3): 1177-1200 (2021)Generalized cross validation for ℓp-ℓq minimization., and . Numer. Algorithms, 88 (4): 1595-1616 (2021)Weakly Constrained Lucy-Richardson with Applications to Inversion of Light Scattering Data., , and . J. Sci. Comput., 74 (2): 786-804 (2018)Graph Laplacian for image deblurring., , , and . CoRR, (2021)An Efficient Implementation of the Gauss-Newton Method Via Generalized Krylov Subspaces., , , and . J. Sci. Comput., 97 (2): 44 (November 2023)