Stopping rules for a nonnegatively constrained iterative method for ill-posed Poisson imaging problems
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Publication:1014887
DOI10.1007/s10543-008-0196-6zbMath1162.65332OpenAlexW2143153202MaRDI QIDQ1014887
Publication date: 29 April 2009
Published in: BIT (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10543-008-0196-6
regularizationnumerical examplesiterative methodsimage reconstructionstopping rulesstatistical methodsweighted least squares approximationcharge coupled device cameraimage deblurring algorithmPoisson likelihood function
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Related Items (6)
Generalized cross-validation applied to conjugate gradient for discrete ill-posed problems ⋮ Modulus Methods for Nonnegatively Constrained Image Restoration ⋮ Bayesian Inverse Problems Are Usually Well-Posed ⋮ Stopping rules for iterative methods in nonnegatively constrained deconvolution ⋮ Rotational image deblurring with sparse matrices ⋮ Large-Scale Inverse Problems in Imaging
Uses Software
Cites Work
- Iterative methods for image deblurring: A Matlab object-oriented approach
- Convergence criteria for iterative restoration methods
- Practical Approximate Solutions to Linear Operator Equations When the Data are Noisy
- Rank-Deficient and Discrete Ill-Posed Problems
- Covariance-Preconditioned Iterative Methods for Nonnegatively Constrained Astronomical Imaging
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