A double-inertial forward-backward splitting method with a claimed weak convergence theorem, undermined by flawed derivations and irreproducible experiments.
Image restoration using an inertial viscosity fixed point algorithm
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abstract
The image restoration problem is one of the popular topics in image processing studied by many authors on account of its applications in various areas. The aim of this paper is to present a new algorithm by using viscosity approximation with inertial effect for finding a common fixed point of an infinite family of nonexpansive mappings in a Hilbert space and obtaining more quality images from degenerate images. Some strong convergence theorems are proved under mild conditions. The obtained results are applied to solve monotone inclusion problems, convex minimization problems, variational inequality problems and generalized equilibrium problems. It is shown that the proposed algorithm performs better than some other algorithms. Also, the effects of inertial and viscosity terms in the algorithm on image restoration have been investigated.
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cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
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A Double Inertial Forward-Backward Splitting Algorithm With Applications to Regression and Classification Problems
A double-inertial forward-backward splitting method with a claimed weak convergence theorem, undermined by flawed derivations and irreproducible experiments.