Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/66666
Title: Inertial self-adaptive algorithm for solving split feasible problems with applications to image restoration
Authors: Raweerote Suparatulatorn
Phakdi Charoensawan
Kanyuta Poochinapan
Keywords: Engineering
Mathematics
Issue Date: 1-Jan-2019
Abstract: © 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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85070921493&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/66666
ISSN: 10991476
01704214
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.