Abstract
This paper proposes an accelerated algorithm for the split common fixed point problem, based on viscosity approximation methods and inertial effects. The main result will be applied to image restoration problems. This algorithm is constructed in such a way that its step sizes and the norm of a given linear operator are not related. Under some conditions, the strong convergence of the algorithm is obtained. Numerical investigations are carried out in order to illustrate high-performance of the present work, mainly using processing duration and the signal-to-noise ratio. It is also shown that this proposed algorithm is more efficient and effective than the published algorithm by Yao et al.
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Acknowledgements
This research was financially supported by the Centre of Excellence in Mathematics, the Commission on Higher Education; and also was partially supported by Chiang Mai University. We would like to thank Dr. Thongchai Disyadej from the Electricity Generating Authority of Thailand for excellent technical assistance.
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Suparatulatorn, R., Charoensawan, P., Poochinapan, K. et al. An algorithm for the split feasible problem and image restoration. RACSAM 115, 12 (2021). https://doi.org/10.1007/s13398-020-00942-z
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DOI: https://doi.org/10.1007/s13398-020-00942-z
Keywords
- Split common fixed point problem
- Demicontractive operator
- Self-adaptive algorithm
- Inertial algorithm
- Image restoration problem