Image reconstruction based on combination of inverse scattering technique and total variation regularization method

Nor Haizan, Jamali and Kismet, Anak Hong Ping and Shafrida, Sahrani and Dayang Azra, Awang Mat and Mohammad Hamiruce, Marhaban and Mohd Iqbal, Bin Saripan and Moriyama, Toshifumi and Takenaka, Takashi (2017) Image reconstruction based on combination of inverse scattering technique and total variation regularization method. Indonesian Journal of Electrical Engineering and Computer Science, 5 (3). pp. 569-576. ISSN 25024752

[img]
Preview
PDF
Image Reconstruction Based on Combination (abstract).pdf

Download (159kB) | Preview

Abstract

The Forward-Backward Time-Stepping (FBTS) had proven its potential to reconstruct images of buried objects in inhomogeneous medium with useful quantitative information about its size, shape, and locality. The Total Variation regularization method was incorporated with the FBTS algorithm to deal with the ill-posedness or ill-conditionedness of the inverse problem. The effectiveness of the proposed technique is confirmed by numerical simulations. The numerical method was carried out on simple object detection through FBTS with and without TV regularization method. The detection and reconstruction of relative permittivity and conductivity of the simple object have shown an improvement as TV regularization method applied whereas it smoothed the vibrations of the images and gave a better estimation of the image’s boundaries. © 2017 Institute of Advanced Engineering and Science

Item Type: Article
Uncontrolled Keywords: inverse scattering, regularization, total variation regularization, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Ibrahim
Date Deposited: 07 Jun 2017 05:50
Last Modified: 07 Jun 2017 05:50
URI: http://ir.unimas.my/id/eprint/16471

Actions (For repository members only: login required)

View Item View Item