An Inertial Forward-Backward Splitting Method for Solving Modified Variational Inclusion Problems and Its Application

被引:2
|
作者
Sombut, Kamonrat [1 ,2 ]
Sitthithakerngkiet, Kanokwan [2 ,3 ]
Arunchai, Areerat [4 ]
Seangwattana, Thidaporn [2 ,5 ]
机构
[1] Rajamangala Univ Technol Thanyaburi RMUTT, Fac Sci & Technol, Dept Math & Comp Sci, Pathum Thani 12110, Thailand
[2] Rajamangala Univ Technol Thanyaburi RMUTT, Fac Sci & Technol, Dept Math & Comp Sci, Appl Math Sci & Engn Res Unit AMSERU, 39 Rungsit Nakorn Nayok Rd Klong 6, Thanyaburi 12110, Pathum Thani, Thailand
[3] King Mongkuts Univ Technol North Bangkok KMUTNB, Fac Appl Sci, Intelligent & Nonlinear Dynam Innovat Res Ctr, Dept Math, Bangkok 10800, Thailand
[4] Rajabhat Univ, Fac Sci & Technol Nakhon Sawan, Dept Math & Stat, Nakhon Sawan 60000, Thailand
[5] King Mongkuts Univ Technol North Bangkok, Fac Sci Energy & Environm, Rayong Campus KMUTNB, Rayong 21120, Thailand
关键词
inertial technique; variational inclusion problem; forward-backward splitting method; fixed point problem; image restoration; MONOTONE-OPERATORS; STRONG-CONVERGENCE; ALGORITHM; SUM;
D O I
10.3390/math11092107
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, we propose an inertial forward-backward splitting method for solving the modified variational inclusion problem. The concept of the proposed method is based on Cholamjiak's method. and Khuangsatung and Kangtunyakarn's method. Cholamjiak's inertial technique is utilized in the proposed method for increased acceleration. Moreover, we demonstrate that the proposed method strongly converges under appropriate conditions and apply the proposed method to solve the image restoration problem where the images have been subjected to various obscuring processes. In our example, we use the proposed method and Khuangsatung and Kangtunyakarn's method to restore two medical images. To compare image quality, we also evaluate the signal-to-noise ratio (SNR) of the proposed method to that of Khuangsatung and Kangtunyakarn's method.
引用
收藏
页数:16
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