A semi-smooth Newton method for inverse problem with uniform noise
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Publication:1635865
DOI10.1007/s10915-017-0557-xzbMath1402.49024OpenAlexW2755021610MaRDI QIDQ1635865
Wai-Ki Ching, You-Wei Wen, Michael Kwok-Po Ng
Publication date: 1 June 2018
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10915-017-0557-x
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An efficient semismooth Newton method for adaptive sparse signal recovery problems, A fast algorithm for solving linear inverse problems with uniform noise removal, A total variation regularization method for inverse source problem with uniform noise
Cites Work
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- Image deblurring in the presence of impulsive noise
- A variational approach to remove outliers and impulse noise
- Least squares and Chebyshev fitting for parameter estimation in ODEs
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Adapted total variation for artifact free decompression of JPEG images
- A nonsmooth version of Newton's method
- L/sub ∞/ constrained high-fidelity image compression via adaptive context modeling
- Minimal invasion: An optimal L∞state constraint problem
- A Total Variation–Based JPEG Decompression Model
- Nonsmooth Equations: Motivation and Algorithms
- L ∞ fitting for inverse problems with uniform noise
- A semismooth Newton method for Tikhonov functionals with sparsity constraints
- Optimization and nonsmooth analysis
- Semismooth and Semiconvex Functions in Constrained Optimization
- Bayesian Methods in Nonlinear Digital Image Restoration
- Semi–Smooth Newton Methods for Variational Inequalities of the First Kind
- Smoothing Methods and Semismooth Methods for Nondifferentiable Operator Equations
- Linear inverse problems with discrete data. I. General formulation and singular system analysis
- Global convergence of damped semismooth Newton methods for ℓ 1 Tikhonov regularization
- $\ell_{2}$ Restoration of $\ell_{\infty}$-Decoded Images Via Soft-Decision Estimation