An improved fast iterative shrinkage thresholding algorithm with an error for image deblurring problem

In this paper, we introduce a new iterative forward-backward splitting method with an error for solving the variational inclusion problem of the sum of two monotone operators in real Hilbert spaces. We suggest and analyze this method under some mild appropriate conditions imposed on the parameters s...

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Vydáno v:Fixed point theory and algorithms for sciences and engineering Ročník 2021; číslo 1; s. 1 - 25
Hlavní autor: Tianchai, Pattanapong
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 01.11.2021
Springer Nature B.V
SpringerOpen
Témata:
Algorithms
Analysis
Applications of Mathematics
Convergence
Differential Geometry
Errors
Forward-backward method
Hilbert space
Image deblurring problem
Iterative methods
Iterative shrinkage thresholding
Mathematical and Computational Biology
Mathematics
Mathematics and Statistics
Maximal monotone operator
Shrinkage
Theorems
Topology
Variational inclusion problem
Variational inclusion problem
Iterative shrinkage thresholding
Image deblurring problem
47H20
47H09
Maximal monotone operator
47H05
Forward-backward method
ISSN:2730-5422, 2730-5422
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Popis
Shrnutí:In this paper, we introduce a new iterative forward-backward splitting method with an error for solving the variational inclusion problem of the sum of two monotone operators in real Hilbert spaces. We suggest and analyze this method under some mild appropriate conditions imposed on the parameters such that another strong convergence theorem for these problem is obtained. We also apply our main result to improve the fast iterative shrinkage thresholding algorithm (IFISTA) with an error for solving the image deblurring problem. Finally, we provide numerical experiments to illustrate the convergence behavior and show the effectiveness of the sequence constructed by the inertial technique to the fast processing with high performance and the fast convergence with good performance of IFISTA.
Bibliografie:ObjectType-Article-1
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ISSN:2730-5422
2730-5422
DOI:10.1186/s13663-021-00703-6