A Projected Forward-Backward Algorithm for Constrained Minimization with Applications to Image Inpainting

In this research, we study the convex minimization problem in the form of the sum of two proper, lower-semicontinuous, and convex functions. We introduce a new projected forward-backward algorithm using linesearch and inertial techniques. We then establish a weak convergence theorem under mild condi...

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Main Authors: Suthep Suantai, Kunrada Kankam, Prasit Cholamjiak
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/8/890
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author Suthep Suantai
Kunrada Kankam
Prasit Cholamjiak
author_facet Suthep Suantai
Kunrada Kankam
Prasit Cholamjiak
author_sort Suthep Suantai
collection DOAJ
description In this research, we study the convex minimization problem in the form of the sum of two proper, lower-semicontinuous, and convex functions. We introduce a new projected forward-backward algorithm using linesearch and inertial techniques. We then establish a weak convergence theorem under mild conditions. It is known that image processing such as inpainting problems can be modeled as the constrained minimization problem of the sum of convex functions. In this connection, we aim to apply the suggested method for solving image inpainting. We also give some comparisons to other methods in the literature. It is shown that the proposed algorithm outperforms others in terms of iterations. Finally, we give an analysis on parameters that are assumed in our hypothesis.
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spelling doaj.art-a6c39aa50208468f8a6fcf3276c424572023-11-21T15:56:05ZengMDPI AGMathematics2227-73902021-04-019889010.3390/math9080890A Projected Forward-Backward Algorithm for Constrained Minimization with Applications to Image InpaintingSuthep Suantai0Kunrada Kankam1Prasit Cholamjiak2Data Science Research Center, Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai 50200, ThailandSchool of Science, University of Phayao, Phayao 56000, ThailandSchool of Science, University of Phayao, Phayao 56000, ThailandIn this research, we study the convex minimization problem in the form of the sum of two proper, lower-semicontinuous, and convex functions. We introduce a new projected forward-backward algorithm using linesearch and inertial techniques. We then establish a weak convergence theorem under mild conditions. It is known that image processing such as inpainting problems can be modeled as the constrained minimization problem of the sum of convex functions. In this connection, we aim to apply the suggested method for solving image inpainting. We also give some comparisons to other methods in the literature. It is shown that the proposed algorithm outperforms others in terms of iterations. Finally, we give an analysis on parameters that are assumed in our hypothesis.https://www.mdpi.com/2227-7390/9/8/890convex minimizationimage inpaintinginertial techniquesweak convergence
spellingShingle Suthep Suantai
Kunrada Kankam
Prasit Cholamjiak
A Projected Forward-Backward Algorithm for Constrained Minimization with Applications to Image Inpainting
Mathematics
convex minimization
image inpainting
inertial techniques
weak convergence
title A Projected Forward-Backward Algorithm for Constrained Minimization with Applications to Image Inpainting
title_full A Projected Forward-Backward Algorithm for Constrained Minimization with Applications to Image Inpainting
title_fullStr A Projected Forward-Backward Algorithm for Constrained Minimization with Applications to Image Inpainting
title_full_unstemmed A Projected Forward-Backward Algorithm for Constrained Minimization with Applications to Image Inpainting
title_short A Projected Forward-Backward Algorithm for Constrained Minimization with Applications to Image Inpainting
title_sort projected forward backward algorithm for constrained minimization with applications to image inpainting
topic convex minimization
image inpainting
inertial techniques
weak convergence
url https://www.mdpi.com/2227-7390/9/8/890
work_keys_str_mv AT suthepsuantai aprojectedforwardbackwardalgorithmforconstrainedminimizationwithapplicationstoimageinpainting
AT kunradakankam aprojectedforwardbackwardalgorithmforconstrainedminimizationwithapplicationstoimageinpainting
AT prasitcholamjiak aprojectedforwardbackwardalgorithmforconstrainedminimizationwithapplicationstoimageinpainting
AT suthepsuantai projectedforwardbackwardalgorithmforconstrainedminimizationwithapplicationstoimageinpainting
AT kunradakankam projectedforwardbackwardalgorithmforconstrainedminimizationwithapplicationstoimageinpainting
AT prasitcholamjiak projectedforwardbackwardalgorithmforconstrainedminimizationwithapplicationstoimageinpainting