Multi-exposure microscopic image fusion-based detail enhancement algorithm

Traditional microscope imaging techniques are unable to retrieve the complete dynamic range of a diatom species with complex silica-based cell walls and multi-scale patterns. In order to extract details from the diatom, multi-exposure images are captured at variable exposure settings using microscop...

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Detalles Bibliográficos
Autores: Singh, Harbinder, Cristóbal, Gabriel, Bueno García, María Gloria, Blanco, Saúl, Singh, Simrandeep, Hrisheekesha, P.N., Mittal, Nitin
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/36218
Acceso en línea:https://hdl.handle.net/10578/36218
Access Level:acceso abierto
Palabra clave:Histogram equalization
Image fusion
Image decomposition
Entropy
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spelling Multi-exposure microscopic image fusion-based detail enhancement algorithmSingh, HarbinderCristóbal, GabrielBueno García, María GloriaBlanco, SaúlSingh, SimrandeepHrisheekesha, P.N.Mittal, NitinHistogram equalizationImage fusionImage decompositionEntropyTraditional microscope imaging techniques are unable to retrieve the complete dynamic range of a diatom species with complex silica-based cell walls and multi-scale patterns. In order to extract details from the diatom, multi-exposure images are captured at variable exposure settings using microscopy techniques. A recent innovation shows that image fusion overcomes the limitations of standard digital cameras to capture details from high dynamic range scene or specimen photographed using microscopy imaging techniques. In this paper, we present a cell-region sensitive exposure fusion (CS-EF) approach to produce well-exposed fused images that can be presented directly on conventional display devices. The ambition is to preserve details in poorly and brightly illuminated regions of 3-D transparent diatom shells. The aforesaid objective is achieved by taking into account local information measures, which select well-exposed regions across input exposures. In addition, a modified histogram equalization is introduced to improve uniformity of input multi-exposure image prior to fusion. Quantitative and qualitative assessment of proposed fusion results reveal better performance than several state-of-the-art algorithms that substantiate the method’s validity.Elsevier202420242022info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10578/36218reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésSBPLY/19/180501/000273CTM2014-51907-C2- 2-R-MINECOinfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/oai:ruidera.uclm.es:10578/362182026-05-27T07:36:41Z
dc.title.none.fl_str_mv Multi-exposure microscopic image fusion-based detail enhancement algorithm
title Multi-exposure microscopic image fusion-based detail enhancement algorithm
spellingShingle Multi-exposure microscopic image fusion-based detail enhancement algorithm
Singh, Harbinder
Histogram equalization
Image fusion
Image decomposition
Entropy
title_short Multi-exposure microscopic image fusion-based detail enhancement algorithm
title_full Multi-exposure microscopic image fusion-based detail enhancement algorithm
title_fullStr Multi-exposure microscopic image fusion-based detail enhancement algorithm
title_full_unstemmed Multi-exposure microscopic image fusion-based detail enhancement algorithm
title_sort Multi-exposure microscopic image fusion-based detail enhancement algorithm
dc.creator.none.fl_str_mv Singh, Harbinder
Cristóbal, Gabriel
Bueno García, María Gloria
Blanco, Saúl
Singh, Simrandeep
Hrisheekesha, P.N.
Mittal, Nitin
author Singh, Harbinder
author_facet Singh, Harbinder
Cristóbal, Gabriel
Bueno García, María Gloria
Blanco, Saúl
Singh, Simrandeep
Hrisheekesha, P.N.
Mittal, Nitin
author_role author
author2 Cristóbal, Gabriel
Bueno García, María Gloria
Blanco, Saúl
Singh, Simrandeep
Hrisheekesha, P.N.
Mittal, Nitin
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Histogram equalization
Image fusion
Image decomposition
Entropy
topic Histogram equalization
Image fusion
Image decomposition
Entropy
description Traditional microscope imaging techniques are unable to retrieve the complete dynamic range of a diatom species with complex silica-based cell walls and multi-scale patterns. In order to extract details from the diatom, multi-exposure images are captured at variable exposure settings using microscopy techniques. A recent innovation shows that image fusion overcomes the limitations of standard digital cameras to capture details from high dynamic range scene or specimen photographed using microscopy imaging techniques. In this paper, we present a cell-region sensitive exposure fusion (CS-EF) approach to produce well-exposed fused images that can be presented directly on conventional display devices. The ambition is to preserve details in poorly and brightly illuminated regions of 3-D transparent diatom shells. The aforesaid objective is achieved by taking into account local information measures, which select well-exposed regions across input exposures. In addition, a modified histogram equalization is introduced to improve uniformity of input multi-exposure image prior to fusion. Quantitative and qualitative assessment of proposed fusion results reveal better performance than several state-of-the-art algorithms that substantiate the method’s validity.
publishDate 2022
dc.date.none.fl_str_mv 2022
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10578/36218
url https://hdl.handle.net/10578/36218
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv SBPLY/19/180501/000273
CTM2014-51907-C2- 2-R-MINECO
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.format.none.fl_str_mv 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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score 15,301629

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