Full high-dynamic range images for dynamic scenes

The limited dynamic range of digital images can be extended by composing photographs of the same scene taken with the same camera at the same view point at different exposure times. This is a standard procedure for static scenes but a challenging task for dynamic ones. Several methods have been pres...

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Detalles Bibliográficos
Autores: Ramírez Orozco, Raissel, Martín, Ignacio, Loscos, Celine, Vázquez, Pere Pau
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2012
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/16917
Acceso en línea:http://hdl.handle.net/10256/16917
Access Level:acceso abierto
Palabra clave:Fotografia digital
Photography -- Digital techniques
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spelling Full high-dynamic range images for dynamic scenesRamírez Orozco, RaisselMartín, IgnacioLoscos, CelineVázquez, Pere PauFotografia digitalPhotography -- Digital techniquesThe limited dynamic range of digital images can be extended by composing photographs of the same scene taken with the same camera at the same view point at different exposure times. This is a standard procedure for static scenes but a challenging task for dynamic ones. Several methods have been presented but few recover high dynamic range within moving areas. We present a method to recover full high dynamic range (HDR) images from dynamic scenes, even in moving regions. Our method has 3 steps. Firstly, areas affected by motion are detected to generate a ghost mask. Secondly, we register dynamic objects over a reference image (the best exposed image in the input sequence). Thirdly, we combine the registered input photographs to recover HDR values in a whole image using a weighted average function. Once matching is found, the assembling step guarantees that all aligned pixels will contribute to the final result, including dynamic content. Tests were made on more than 20 sets of sequences, with moving cars or pedestrians and different background. Our results show that Image Mapping Function approach detects best motion regions while Normalized Cross Correlation offers the best deal speed-accuracy for image registration. Results from our method offers better result when moving object are roughly rigid and their movement is mostly rigid. The final composition is an HDR image with no ghosting and all dynamic content present in HDR valuesSociety of Photo-Optical Instrumentation Engineers (SPIE)2012info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionpeer-reviewedapplication/pdfhttp://hdl.handle.net/10256/16917http://hdl.handle.net/10256/16917© Proceedings of SPIE - The International Society for Optical Engineering, 2012, vol. 8436, p. 843609-843625Articles publicats (D-IMA)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.1117/12.922825info:eu-repo/semantics/altIdentifier/issn/0277-786XTots els drets reservatsinfo:eu-repo/semantics/openAccessoai:recercat.cat:10256/169172026-05-29T05:05:01Z
dc.title.none.fl_str_mv Full high-dynamic range images for dynamic scenes
title Full high-dynamic range images for dynamic scenes
spellingShingle Full high-dynamic range images for dynamic scenes
Ramírez Orozco, Raissel
Fotografia digital
Photography -- Digital techniques
title_short Full high-dynamic range images for dynamic scenes
title_full Full high-dynamic range images for dynamic scenes
title_fullStr Full high-dynamic range images for dynamic scenes
title_full_unstemmed Full high-dynamic range images for dynamic scenes
title_sort Full high-dynamic range images for dynamic scenes
dc.creator.none.fl_str_mv Ramírez Orozco, Raissel
Martín, Ignacio
Loscos, Celine
Vázquez, Pere Pau
author Ramírez Orozco, Raissel
author_facet Ramírez Orozco, Raissel
Martín, Ignacio
Loscos, Celine
Vázquez, Pere Pau
author_role author
author2 Martín, Ignacio
Loscos, Celine
Vázquez, Pere Pau
author2_role author
author
author
dc.subject.none.fl_str_mv Fotografia digital
Photography -- Digital techniques
topic Fotografia digital
Photography -- Digital techniques
description The limited dynamic range of digital images can be extended by composing photographs of the same scene taken with the same camera at the same view point at different exposure times. This is a standard procedure for static scenes but a challenging task for dynamic ones. Several methods have been presented but few recover high dynamic range within moving areas. We present a method to recover full high dynamic range (HDR) images from dynamic scenes, even in moving regions. Our method has 3 steps. Firstly, areas affected by motion are detected to generate a ghost mask. Secondly, we register dynamic objects over a reference image (the best exposed image in the input sequence). Thirdly, we combine the registered input photographs to recover HDR values in a whole image using a weighted average function. Once matching is found, the assembling step guarantees that all aligned pixels will contribute to the final result, including dynamic content. Tests were made on more than 20 sets of sequences, with moving cars or pedestrians and different background. Our results show that Image Mapping Function approach detects best motion regions while Normalized Cross Correlation offers the best deal speed-accuracy for image registration. Results from our method offers better result when moving object are roughly rigid and their movement is mostly rigid. The final composition is an HDR image with no ghosting and all dynamic content present in HDR values
publishDate 2012
dc.date.none.fl_str_mv 2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
peer-reviewed
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10256/16917
http://hdl.handle.net/10256/16917
url http://hdl.handle.net/10256/16917
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1117/12.922825
info:eu-repo/semantics/altIdentifier/issn/0277-786X
dc.rights.none.fl_str_mv Tots els drets reservats
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Tots els drets reservats
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Society of Photo-Optical Instrumentation Engineers (SPIE)
publisher.none.fl_str_mv Society of Photo-Optical Instrumentation Engineers (SPIE)
dc.source.none.fl_str_mv © Proceedings of SPIE - The International Society for Optical Engineering, 2012, vol. 8436, p. 843609-843625
Articles publicats (D-IMA)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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