Filomat 2021 Volume 35, Issue 3, Pages: 771-782
https://doi.org/10.2298/FIL2103771B
Full text ( 1055 KB)
Cited by
Inertial s-iteration forward-backward algorithm for a family of nonexpansive operators with applications to image restoration problems
Bussaban Limpapat (Faculty of Science, Chiang Mai University, Chiang Mai, Thailand), lim.bussaban@gmail.com
Kaewkhao Attapol (Research Center in Mathematics and Applied Mathematics, Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand), akaewkhao@yahoo.com
Suantai Suthep (Research Center in Mathematics and Applied Mathematics, Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand + Data Science Research Center, Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand), suthep.s@cmu.ac.th
Image restoration is an important branch of image processing which has been
studied extensively while there are several methods to solve this problem by
many authors with the challenges of computational speed and accuracy of
algorithms. In this paper, we present two methods, called ”Inertial
S-iteration forward-backward algorithm (ISFBA)” and ”A fast iterative
shrinkage-thresholding algorithm-Siteration (FISTA-S)”, for finding an
approximate solution of least absolute shrinkage and selection operator
problem by using a special technique in fixed point theory and prove weak
convergence of the proposed methods under some suitable conditions.
Moreover, we apply our main results to solve image restoration problems. It
is shown by some numerical examples that our algorithms have a good behavior
compared with forward-backward algorithm (FBA), a new accelerated proximal
gradient algorithm (nAGA) and a fast iterative shrinkage-thresholding
algorithm (FISTA).
Keywords: S-iteration, forward-backward algorithm, nonexpansive operator, image restoration problem