Efficient Image Fusion Algorithm for Multi-Focus Images Using Energy Estimation
Autor(a) principal: | |
---|---|
Data de Publicação: | 2007 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | INFOCOMP: Jornal de Ciência da Computação |
Texto Completo: | https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/363 |
Resumo: | This paper presents a new image fusion approach for multi-focus image fusion. Considering that for the same scene, the energies of images captured on the focus and without the focuses are different, thus, fusion decision at some regions can be made based on the magnitudes of the energy. Certainly, fusion would be easily carried out once the source images have been segmented as a sequence of regions. However, the precise segmentation is usually difficult, and it is computationally expensive. To overcome the difficulties, a course mesh or cells, in this scheme, is defined in the image domain, each element corresponding to a set of pixels of the image on a rectangle window, which is approximated as regions. After that, fusion decision on the regions may be made by measuring the magnitudes of energy. Furthermore, note that the size of the regions may affect the fusion performance, particularly at the region boundaries, but it can be reduced by selecting finer mesh, and the cells may be spitted furthermore by using the marching squares algorithm to improve the fusion quality. By numeric experiments, it has been demonstrated that the proposed method could achieve similar fusion results compared with that obtained by the multi-scale decomposition-based image fusion algorithm, and with low computational cost. |
id |
UFLA-5_fb44585a1700ac000aacac190e555b97 |
---|---|
oai_identifier_str |
oai:infocomp.dcc.ufla.br:article/363 |
network_acronym_str |
UFLA-5 |
network_name_str |
INFOCOMP: Jornal de Ciência da Computação |
repository_id_str |
|
spelling |
Efficient Image Fusion Algorithm for Multi-Focus Images Using Energy EstimationImage fusionenergy functionmulti-focus imagemarching squares.This paper presents a new image fusion approach for multi-focus image fusion. Considering that for the same scene, the energies of images captured on the focus and without the focuses are different, thus, fusion decision at some regions can be made based on the magnitudes of the energy. Certainly, fusion would be easily carried out once the source images have been segmented as a sequence of regions. However, the precise segmentation is usually difficult, and it is computationally expensive. To overcome the difficulties, a course mesh or cells, in this scheme, is defined in the image domain, each element corresponding to a set of pixels of the image on a rectangle window, which is approximated as regions. After that, fusion decision on the regions may be made by measuring the magnitudes of energy. Furthermore, note that the size of the regions may affect the fusion performance, particularly at the region boundaries, but it can be reduced by selecting finer mesh, and the cells may be spitted furthermore by using the marching squares algorithm to improve the fusion quality. By numeric experiments, it has been demonstrated that the proposed method could achieve similar fusion results compared with that obtained by the multi-scale decomposition-based image fusion algorithm, and with low computational cost.Editora da UFLA2007-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/363INFOCOMP Journal of Computer Science; Vol. 6 No. 1 (2007): March, 2007; 1-81982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/363/347Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessZhang, YingjieGe, Liling2015-06-27T23:29:24Zoai:infocomp.dcc.ufla.br:article/363Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:34.459091INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Efficient Image Fusion Algorithm for Multi-Focus Images Using Energy Estimation |
title |
Efficient Image Fusion Algorithm for Multi-Focus Images Using Energy Estimation |
spellingShingle |
Efficient Image Fusion Algorithm for Multi-Focus Images Using Energy Estimation Zhang, Yingjie Image fusion energy function multi-focus image marching squares. |
title_short |
Efficient Image Fusion Algorithm for Multi-Focus Images Using Energy Estimation |
title_full |
Efficient Image Fusion Algorithm for Multi-Focus Images Using Energy Estimation |
title_fullStr |
Efficient Image Fusion Algorithm for Multi-Focus Images Using Energy Estimation |
title_full_unstemmed |
Efficient Image Fusion Algorithm for Multi-Focus Images Using Energy Estimation |
title_sort |
Efficient Image Fusion Algorithm for Multi-Focus Images Using Energy Estimation |
author |
Zhang, Yingjie |
author_facet |
Zhang, Yingjie Ge, Liling |
author_role |
author |
author2 |
Ge, Liling |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Zhang, Yingjie Ge, Liling |
dc.subject.por.fl_str_mv |
Image fusion energy function multi-focus image marching squares. |
topic |
Image fusion energy function multi-focus image marching squares. |
description |
This paper presents a new image fusion approach for multi-focus image fusion. Considering that for the same scene, the energies of images captured on the focus and without the focuses are different, thus, fusion decision at some regions can be made based on the magnitudes of the energy. Certainly, fusion would be easily carried out once the source images have been segmented as a sequence of regions. However, the precise segmentation is usually difficult, and it is computationally expensive. To overcome the difficulties, a course mesh or cells, in this scheme, is defined in the image domain, each element corresponding to a set of pixels of the image on a rectangle window, which is approximated as regions. After that, fusion decision on the regions may be made by measuring the magnitudes of energy. Furthermore, note that the size of the regions may affect the fusion performance, particularly at the region boundaries, but it can be reduced by selecting finer mesh, and the cells may be spitted furthermore by using the marching squares algorithm to improve the fusion quality. By numeric experiments, it has been demonstrated that the proposed method could achieve similar fusion results compared with that obtained by the multi-scale decomposition-based image fusion algorithm, and with low computational cost. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-03-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/363 |
url |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/363 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/363/347 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 INFOCOMP Journal of Computer Science info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 INFOCOMP Journal of Computer Science |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Editora da UFLA |
publisher.none.fl_str_mv |
Editora da UFLA |
dc.source.none.fl_str_mv |
INFOCOMP Journal of Computer Science; Vol. 6 No. 1 (2007): March, 2007; 1-8 1982-3363 1807-4545 reponame:INFOCOMP: Jornal de Ciência da Computação instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
INFOCOMP: Jornal de Ciência da Computação |
collection |
INFOCOMP: Jornal de Ciência da Computação |
repository.name.fl_str_mv |
INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
infocomp@dcc.ufla.br||apfreire@dcc.ufla.br |
_version_ |
1799874741417279488 |