Image reconstruction based on combination of inverse scattering technique and total variation regularization method
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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science
2017
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| Online Access: | http://ir.unimas.my/id/eprint/16471/ http://ir.unimas.my/id/eprint/16471/1/Image%20Reconstruction%20Based%20on%20Combination%20%28abstract%29.pdf |
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| author | Nor Haizan, Jamali Kismet, Anak Hong Ping Shafrida, Sahrani Dayang Azra, Awang Mat Mohammad Hamiruce, Marhaban Mohd Iqbal, Bin Saripan Moriyama, Toshifumi Takenaka, Takashi |
| author_facet | Nor Haizan, Jamali Kismet, Anak Hong Ping Shafrida, Sahrani Dayang Azra, Awang Mat Mohammad Hamiruce, Marhaban Mohd Iqbal, Bin Saripan Moriyama, Toshifumi Takenaka, Takashi |
| author_sort | Nor Haizan, Jamali |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | 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 |
| first_indexed | 2025-11-15T06:49:43Z |
| format | Article |
| id | unimas-16471 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:49:43Z |
| publishDate | 2017 |
| publisher | Institute of Advanced Engineering and Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-164712017-06-07T05:50:39Z http://ir.unimas.my/id/eprint/16471/ Image reconstruction based on combination of inverse scattering technique and total variation regularization method Nor Haizan, Jamali Kismet, Anak Hong Ping Shafrida, Sahrani Dayang Azra, Awang Mat Mohammad Hamiruce, Marhaban Mohd Iqbal, Bin Saripan Moriyama, Toshifumi Takenaka, Takashi TK Electrical engineering. Electronics Nuclear engineering 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 Institute of Advanced Engineering and Science 2017-03 Article PeerReviewed text en http://ir.unimas.my/id/eprint/16471/1/Image%20Reconstruction%20Based%20on%20Combination%20%28abstract%29.pdf 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 http://www.iaesjournal.com/online/index.php/IJEECS/article/view/15031 DOI: 10.11591/ijeecs.v5.i3.pp569-576 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Nor Haizan, Jamali Kismet, Anak Hong Ping Shafrida, Sahrani Dayang Azra, Awang Mat Mohammad Hamiruce, Marhaban Mohd Iqbal, Bin Saripan Moriyama, Toshifumi Takenaka, Takashi Image reconstruction based on combination of inverse scattering technique and total variation regularization method |
| title | Image reconstruction based on combination of inverse scattering technique and total variation regularization method |
| title_full | Image reconstruction based on combination of inverse scattering technique and total variation regularization method |
| title_fullStr | Image reconstruction based on combination of inverse scattering technique and total variation regularization method |
| title_full_unstemmed | Image reconstruction based on combination of inverse scattering technique and total variation regularization method |
| title_short | Image reconstruction based on combination of inverse scattering technique and total variation regularization method |
| title_sort | image reconstruction based on combination of inverse scattering technique and total variation regularization method |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://ir.unimas.my/id/eprint/16471/ http://ir.unimas.my/id/eprint/16471/ http://ir.unimas.my/id/eprint/16471/ http://ir.unimas.my/id/eprint/16471/1/Image%20Reconstruction%20Based%20on%20Combination%20%28abstract%29.pdf |