A review of image fusion: Methods, applications and performance metrics

The same sensor or a number of image sensors are used to take a series of photographs in order to gather as much data as possible about the scene. Several imaging techniques are used to retrieve entire information from the source under observation. Image fusion (IF) is used to create a new image tha...

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Autores: Singh , Simrandeep, Singh , Harbinder, Bueno García, María Gloria, Déniz Suárez, Óscar, Singh , Sartajvir, Monga , Himanshu, Hrisheekesha , Pn, Pedraza Dorado, Aníbal
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/45794
Acceso en línea:https://doi.org/10.1016/j.dsp.2023.104020
https://hdl.handle.net/10578/45794
https://www.sciencedirect.com/science/article/pii/S105120042300115X
Access Level:acceso abierto
Palabra clave:Fusion criteria
Image decomposition
Information fusion
Quality metrics
Segmentation
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spelling A review of image fusion: Methods, applications and performance metricsSingh , SimrandeepSingh , HarbinderBueno García, María GloriaDéniz Suárez, ÓscarSingh , SartajvirMonga , HimanshuHrisheekesha , PnPedraza Dorado, AníbalFusion criteriaImage decompositionInformation fusionQuality metricsSegmentationThe same sensor or a number of image sensors are used to take a series of photographs in order to gather as much data as possible about the scene. Several imaging techniques are used to retrieve entire information from the source under observation. Image fusion (IF) is used to create a new image that incorporates comprehensive information from many photographs. The various images may be captured from different viewpoints, different imaging sensors i.e., visible (VIS) and IR camera, different modalities i.e., computed tomography (CT) and magnetic resonance image (MRI), hyper spectral images i.e., panchromatic and multi-spectral satellite images, multi-exposure images and multi-focus images. Owing to the growing mandates and development of image enhancement schemes, numerous fusion methods were recently formulated. Consequentially, we are doing a survey study to document the methodological development in IF techniques. The outline of picture merging technologies is described in this article. Ultimately, latest state-of-the-art fusion techniques are also demonstrated. Readers will gain insights on current discoveries and their implications for the future through a review of diverse image fusion in various areas and fusion quality metrics.ELSEVIER202520252023info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://doi.org/10.1016/j.dsp.2023.104020https://hdl.handle.net/10578/45794https://www.sciencedirect.com/science/article/pii/S105120042300115Xreponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésSBPLY/21/180501/000025SBPLY/19/180501/000273info:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/457942026-05-27T07:36:41Z
dc.title.none.fl_str_mv A review of image fusion: Methods, applications and performance metrics
title A review of image fusion: Methods, applications and performance metrics
spellingShingle A review of image fusion: Methods, applications and performance metrics
Singh , Simrandeep
Fusion criteria
Image decomposition
Information fusion
Quality metrics
Segmentation
title_short A review of image fusion: Methods, applications and performance metrics
title_full A review of image fusion: Methods, applications and performance metrics
title_fullStr A review of image fusion: Methods, applications and performance metrics
title_full_unstemmed A review of image fusion: Methods, applications and performance metrics
title_sort A review of image fusion: Methods, applications and performance metrics
dc.creator.none.fl_str_mv Singh , Simrandeep
Singh , Harbinder
Bueno García, María Gloria
Déniz Suárez, Óscar
Singh , Sartajvir
Monga , Himanshu
Hrisheekesha , Pn
Pedraza Dorado, Aníbal
author Singh , Simrandeep
author_facet Singh , Simrandeep
Singh , Harbinder
Bueno García, María Gloria
Déniz Suárez, Óscar
Singh , Sartajvir
Monga , Himanshu
Hrisheekesha , Pn
Pedraza Dorado, Aníbal
author_role author
author2 Singh , Harbinder
Bueno García, María Gloria
Déniz Suárez, Óscar
Singh , Sartajvir
Monga , Himanshu
Hrisheekesha , Pn
Pedraza Dorado, Aníbal
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Fusion criteria
Image decomposition
Information fusion
Quality metrics
Segmentation
topic Fusion criteria
Image decomposition
Information fusion
Quality metrics
Segmentation
description The same sensor or a number of image sensors are used to take a series of photographs in order to gather as much data as possible about the scene. Several imaging techniques are used to retrieve entire information from the source under observation. Image fusion (IF) is used to create a new image that incorporates comprehensive information from many photographs. The various images may be captured from different viewpoints, different imaging sensors i.e., visible (VIS) and IR camera, different modalities i.e., computed tomography (CT) and magnetic resonance image (MRI), hyper spectral images i.e., panchromatic and multi-spectral satellite images, multi-exposure images and multi-focus images. Owing to the growing mandates and development of image enhancement schemes, numerous fusion methods were recently formulated. Consequentially, we are doing a survey study to document the methodological development in IF techniques. The outline of picture merging technologies is described in this article. Ultimately, latest state-of-the-art fusion techniques are also demonstrated. Readers will gain insights on current discoveries and their implications for the future through a review of diverse image fusion in various areas and fusion quality metrics.
publishDate 2023
dc.date.none.fl_str_mv 2023
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.dsp.2023.104020
https://hdl.handle.net/10578/45794
https://www.sciencedirect.com/science/article/pii/S105120042300115X
url https://doi.org/10.1016/j.dsp.2023.104020
https://hdl.handle.net/10578/45794
https://www.sciencedirect.com/science/article/pii/S105120042300115X
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv SBPLY/21/180501/000025
SBPLY/19/180501/000273
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv ELSEVIER
publisher.none.fl_str_mv ELSEVIER
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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