Inertial self-adaptive algorithm for solving split feasible problems with applications to image restoration

© 2019 John Wiley & Sons, Ltd. We introduce a new self-adaptive algorithm for applications to image restoration problems. In order to study an image restoration, we consider the algorithm that contains inertial effects and step sizes, which is independent from the norm of the bounded linear op...

Full description

Saved in:
Bibliographic Details
Main Authors: Raweerote Suparatulatorn, Phakdi Charoensawan, Kanyuta Poochinapan
Format: Journal
Published: 2019
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85070921493&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/66666
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
Description
Summary:© 2019 John Wiley & Sons, Ltd. We introduce a new self-adaptive algorithm for applications to image restoration problems. In order to study an image restoration, we consider the algorithm that contains inertial effects and step sizes, which is independent from the norm of the bounded linear operator. With some control conditions, the strong convergence to the minimum norm solution of the algorithm is obtained. Convergence analysis of the proposed algorithm is also discussed. Moreover, numerical results of image restoration problems illustrate that the proposed algorithm is efficient and outperforms other ones.